Embedded Systems Engineer Jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Systems Engineer &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</strong></p><br><p>We are looking for a Systems Engineer to work closely with a sales representative in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales.</p><br><p><strong><u>With us you will</u></strong></p><br><ul> <li>Lead all technical aspects of a sales cycle with customers, from the initial RFIs, through to RFPs &amp; RFQs when required. This includes the project management and active participation in POCs in partnership with the relevant teams both internally and within the customer and/or commercial partner.</li> <li>Have the ability to listen and to understand the technical requirements of the customer, reading between the lines to build a solution which outperforms the competitor offering.</li> <li>Be the primary technical point of contact for the customer(s) and partners in close collaboration with your sales partner.</li> <li>Continuously strive to improve knowledge around the Fortinet products and solutions, along with maintaining a deep understanding of the competitive landscape and Fortinet’s ability to provide long lasting protection against the ever-evolving threats.</li> <li>Have a strong ability to position Fortinet solutions to the customer, whether this be remotely or in person. This requires strong communication skills and the ability to confidently present through whiteboarding, technical white papers, technical plans or customer discussions.</li> <li>Manage your time effectively when working on multiple deals simultaneously, ensuring a positive customer experience is maintained.</li></ul><p><strong><u>Apply if you</u></strong></p><br><ul> <li>Have Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, VLAN, Network Security, Firewall, Intrusion Detection, and anti-virus.</li> <li>Solid understanding of most of the following technologies and protocols: SD-WAN, SASE, ZTNA, SIEM, XDR, EDR, WAF, Email Security, NAC, CASB, RADIUS, PKI, IKE, Certificates,&nbsp;</li> <li>Strong presentation skills in French and in English</li> <li>Are currently or have previously worked in a pre-sales engineer role, managing end to end technical aspects of deals, through to technical closure.</li> <li>Can demonstrate your problem solving skills and how this has impacted key wins within your current organisation.</li> <li>Understand and can demonstrate your ability to build and maintain customer relationships, including your ability to effectively communicate technically to a range of both external and internal stakeholders.</li> <li>Fluency in English is a must&nbsp;</li></ul><br> </div>

<p>We are looking for a Systems Engineer to work closely with a sales representative in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales.</p><p>With us you will Lead all technical aspects of a sales cycle with customers, from the initial RFIs, through to RFPs &amp; RFQs when required. This includes the project management and active participation in POCs in partnership with the relevant teams both internally and within the customer and/or commercial partner.</p><p>Have the ability to listen and to understand the technical requirements of the customer, reading between the lines to build a solution which outperforms the competitor offering.</p><p>Be the primary technical point of contact for the customer(s) and partners in close collaboration with your sales partner.</p><p>Continuously strive to improve knowledge around the Fortinet products and solutions, along with maintaining a deep understanding of the competitive landscape and Fortinet s ability to provide long lasting protection against the ever-evolving threats.</p><p>Have a strong ability to position Fortinet solutions to the customer, whether this be remotely or in person. This requires strong communication skills and the ability to confidently present through whiteboarding, technical white papers, technical plans or customer discussions.</p><p>Manage your time effectively when working on multiple deals simultaneously, ensuring a positive customer experience is maintained.</p><p><strong>Desired Candidate Profile</strong></p><h2>Apply if you</h2><ul><li>Have Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, VLAN, Network Security, Firewall, Intrusion Detection, and anti-virus.</li><li>Solid understanding of most of the following technologies and protocols: SD-WAN, SASE, ZTNA, SIEM, XDR, EDR, WAF, Email Security, NAC, CASB, RADIUS, PKI, IKE, Certificates, Strong presentation skills in French and in English</li><li>Are currently or have previously worked in a pre-sales engineer role, managing end to end technical aspects of deals, through to technical closure.</li><li>Can demonstrate your problem solving skills and how this has impacted key wins within your current organisation.</li><li>Understand and can demonstrate your ability to build and maintain customer relationships, including your ability to effectively communicate technically to a range of both external and internal stakeholders.</li><li>Fluency in English is a must</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Venari Security is looking for a senior platform-minded integration engineer, architect, or independent consultant who can take ownership of complex integration capabilities from specification through design, build, validation, and delivery.</p><br> <p>This is not a narrow coding assignment. You will define and deliver production-grade integrations that connect Venari’s Adaptive Cryptographic Intelligence Platform with leading cloud providers, cybersecurity platforms, enterprise systems, and SaaS solutions. The ideal candidate can understand an existing platform architecture, identify the right extension points, specify the subsystem to be built, and deliver it autonomously with the right security, reliability, and operational foundations.</p><br> <p>You will work at the intersection of platform engineering, cloud architecture, API design, and integration security, helping Venari build a scalable integration layer for AWS, Azure, major cybersecurity ecosystems, and high-value SaaS environments.</p><br> <p><span>Mission and Scope of Work</span></p><br> <ul> <li>Own the end-to-end delivery of integration subsystems: clarify requirements, write technical specifications, design the architecture, build the services, validate behavior, and prepare production release.</li> <li>Design scalable integration patterns for major cloud providers, especially AWS and Azure, including secure access, discovery, data ingestion, event handling, and operational monitoring.</li> <li>Build robust APIs, connectors, webhooks, and integration services for cloud platforms, cybersecurity tools, CMDBs, SIEMs, vulnerability management platforms, identity providers, and enterprise SaaS solutions.</li> <li>Implement secure authentication, authorization, and secret-management flows using standards such as OAuth2, OpenID Connect, SSO, RBAC, API keys, signed requests, and cloud-native identity mechanisms.</li> <li>Understand Venari’s platform architecture and build on top of it without creating isolated, hard-to-maintain components.</li> <li>Deliver integration configuration workflows and UI components that make setup, testing, monitoring, and troubleshooting simple for users.</li> <li>Build for production from the start: observability, retries, rate-limit handling, caching, error handling, auditability, automated tests, documentation, and deployment readiness.</li> </ul> <p><span>What You Will Deliver</span></p><br> <ul> <li>Clear technical specifications for each integration subsystem, including architecture, data flows, security model, edge cases, and delivery plan.</li> <li>Production-ready backend services, APIs, connectors, and integration components aligned with Venari’s platform architecture.</li> <li>Secure cloud and SaaS integration capabilities for AWS, Azure, and selected enterprise platforms.</li> <li>Authentication and authorization modules covering OAuth2, OpenID Connect, SSO, RBAC, token lifecycle, and secure credential handling.</li> <li>Configuration screens, validation workflows, and operational views that allow users to configure, test, and monitor integrations.</li> <li>Automated tests, CI/CD readiness, logging, metrics, deployment notes, and technical documentation that allow the core team to maintain and extend the work.</li> </ul> <p><span>What We Are Looking For</span></p><br> <ul> <li>A senior engineer, architect, or technical consultant with more than 10 years of experience delivering enterprise software solutions at scale, with proven ability to specify, build, and deliver systems or subsystems autonomously, not only implement assigned tickets.</li> <li>Strong ability to understand an existing SaaS platform architecture, identify reusable platform capabilities, and build extensions that are coherent, maintainable, and scalable.</li> <li>Hands-on experience with cloud integrations on AWS and Azure, including IAM, service APIs, event services, networking constraints, credentials, permissions, and security boundaries.</li> <li>Strong API engineering background, including REST APIs, webhooks, asynchronous integration patterns, API gateways, rate limiting, pagination, retries, versioning, and backward compatibility.</li> <li>Deep understanding of integration security: OAuth2, OpenID Connect, SSO, RBAC, least privilege, token handling, secrets management, encryption in transit, audit logging, and secure error handling.</li> <li>Strong backend engineering experience, ideally with Spring Boot, microservices, containers, automated testing, and production-grade observability.</li> <li>Ability to communicate architecture decisions clearly, write practical technical documentation, and collaborate with product, frontend, backend, infrastructure, and security stakeholders.</li> </ul> <p><span>Experience That Will Stand Out</span></p><br> <ul> <li>Delivered integrations with AWS services, Azure services, identity providers, security tools, observability platforms, CMDBs, SIEMs, vulnerability management tools, or enterprise SaaS products.</li> <li>Built integration platforms, connector frameworks, developer-facing APIs, or extensibility layers used by multiple customers or product teams.</li> <li>Experience with event-driven architectures, queues, streaming, scheduling, sync engines, data pipelines, Kafka, CrateDB, PostgreSQL, or similar technologies.</li> <li>Hands-on experience with Docker, Kubernetes, Terraform, Helm, cloud-native deployment models, and CI/CD automation.</li> <li>Strong product sense: able to translate an integration use case into a reliable user workflow, not only a technical connector.</li> </ul> <p><span>Why This Is Interesting</span></p><br> <ul> <li>You will help shape the integration layer of a platform focused on cryptographic discovery, crypto agility, and the security challenges created by modern encrypted infrastructure.</li> <li>You will build integrations at scale with the platforms that matter most to enterprise customers: cloud providers, cybersecurity ecosystems, identity platforms, and SaaS solutions.</li> <li>You will have real ownership: define the right approach, make architecture decisions, deliver working subsystems, and leave behind a foundation the product team can extend.</li> <li>You will work on a technically meaningful problem where cloud security, API design, platform architecture, and product usability meet.</li> </ul> <p><span>Engagement Details</span></p><br> <ul> <li>Contract Type: Project-based (Independent Consultant / Contractor)</li> <li>Duration: Initial 3-month engagement, with extension subject to review of progress and delivery quality.</li> <li>Location: Hybrid</li> <li>Start Date: ASAP</li> </ul> <p><span>About Venari Security</span></p><br> <p>Venari Security provides organisations with advanced visibility into their encrypted attack surface, ensuring regulatory compliance and privacy adherence through our cryptographic discovery tool. Our focus is on crypto agility which helps you assess both external and internal cryptographic risks, preparing your business now and for the quantum future.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>Role Overview<br> We are expanding our operations in the Democratic Republic of Congo and looking for an exceptional mechanical engineer to join our site team.</p><br><p>If you are a hands-on mechanical expert who thrives in heavy industrial environments and excels at maximizing equipment uptime, diagnosing complex mechanical failures, and optimizing machinery performance, this role is for you! You will be the technical backbone, ensuring our heavy assets operate safely, efficiently, and reliably.</p><br><p>Key Responsibilities<br> Equipment Reliability &amp; Maintenance: Develop and execute comprehensive preventive and predictive maintenance programs for heavy machinery and industrial equipment to maximize operational uptime.</p><br><p>Root-Cause Failure Analysis: Lead investigations into mechanical breakdowns, component failures, and system anomalies. Design and implement permanent engineering solutions to prevent recurrence.</p><br><p>Technical Oversight &amp; Spare Parts Specifications: Define technical specifications for critical spare parts, review material quality, and collaborate with procurement to ensure replacement components meet rigorous engineering standards.</p><br><p>Installation &amp; Commissioning: Oversee the installation, alignment, testing, and commissioning of new mechanical systems, hydraulic/pneumatic circuits, and heavy plant equipment.</p><br><p>Workshop &amp; Team Leadership: Guide on-site technicians and mechanical teams during complex repairs, ensuring strict adherence to safety protocols, quality standards, and standard operating procedures (SOPs).</p><br><br>Qualifications<br><p>Role Requirements &amp; Qualifications<br> Education: Bachelor’s degree in mechanical engineering or a closely related technical engineering discipline.</p><br><p>Language: Proficiency in French (spoken and written) for effective on-site communication and technical oversight.</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is transforming the way businesses hire and manage global teams.<br> Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management.<br> We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.<br> We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.<br> As a Senior AI Engineer, you will build production-grade conversational AI systems and has a strong foundation in modern AI technologies and hands-on experience designing, evaluating, testing, and deploying AI applications at scale.<br> Responsibilities Design, develop, and maintain production-grade conversational AI systems.<br> Own AI features from technical design through deployment and production support.<br> Design scalable AI architectures and agent workflows.<br> Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.<br> Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.<br> Integrate multiple AI providers and select the best models for different use cases.<br> Monitor production AI systems and proactively improve reliability, quality, and performance.<br> Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.<br> Review technical designs and contribute to engineering best practices.<br> Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions.<br> Stay up to date with the latest advancements in Generative AI and apply them where they create business value.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Product Designer, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Lead AI Engineer which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation.<br> 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of experience building AI-powered applications in production.<br> Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.<br> Proven experience designing and developing conversational AI systems (voice and/or chat applications).<br> Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.<br> Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.<br> Demonstrated experience improving AI quality through iterative evaluation and experimentation.<br> Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.<br> Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.<br> Experience deploying, monitoring, and maintaining AI applications in production environments.<br> Full-stack development experience with modern backend and frontend technologies.<br> Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.<br> Strong analytical and problem-solving skills.<br> Ability to evaluate multiple AI approaches and select the most effective solution based on quality, reliability, latency, and cost.<br> Ability to independently own complex AI projects from design through production with minimal supervision.<br> Nice to Have Experience building traditional ML applications.<br> Experience with AI observability, tracing, and monitoring.<br> Experience mentoring engineers and driving engineering best practices.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong>Are you ready</strong> to take full ownership of high impact engineering initiatives and shape the future of high-speed manufacturing? As a Project Engineer, you will be the driving force behind the design, execution, and commissioning of multi million dollar capital projects across our state of the art Oral Care product production facility. Seated within the Making division of our world renowned toothpastes and mouthwash rinses, you will be the Engineer conceptualizing the future of our manufacturing capabilities.&nbsp;</p><br> <p>From blank page concept and vendor bidding to line installation, automation integration, and final qualification, you will partner with cross-functional plant leadership and external contractors to transform capital expenditure into operational excellence.</p><br> <p><strong>Your Day to Day and The Future</strong></p><br> <ul> <li> <p>Direct capital projects from initial scope definition and technical feasibility studies through construction, startup, and operational handover.</p><br> </li> <li> <p>Own the Capital Expenditure Budget (CEB) process administer contractor contracts, monitor expenditures, and maintain strict cost control to deliver projects on time and under budget.</p><br> </li> <li> <p>Develop detailed project execution plans, sequence critical path milestones, and resolve operational bottlenecks on the factory floor.</p><br> </li> <li> <p>Study product specifications and performance targets to design technical solutions, specify high-speed processing/packaging machinery, and execute layout studies.</p><br> </li> <li> <p>Lead rigorous testing protocols to confirm equipment reliability, product performance, and full compliance with FDA/cGMP and quality standards.</p><br> </li> <li> <p>Partner with Controls, Reliability, and Safety teams to integrate advanced utility systems, line automation, and digital manufacturing tools into plant workflows.</p><br> </li> <li> <p>Manage RFP/RFQ bidding processes, evaluate technical vendor proposals, and supervise external contractors on-site to enforce strict performance and safety standards.</p><br> </li> <li> <p>Champion Environmental, Occupational Health, and Safety (EOHS) rules across all project sites, keeping every build compliant with OSHA and internal zero-incident safety standards.</p><br> </li> <li> <p>Track and report real-time project metrics, capital spending trends, and risk management plans to executive plant leadership.</p><br> </li> </ul> <p><strong>You'll need to have:</strong>&nbsp;</p><br> <ul> <li> <p>Bachelor of Science in Mechanical, Industrial, or Electrical Engineering (or related engineering discipline).</p><br> </li> <li> <p>4+ years of hands-on engineering experience inside a high-speed cGMP manufacturing environment (CPG, Pharma, Food &amp; Beverage, Personal Care, or related industry)</p><br> </li> <li> <p>Proven track record of managing capital equipment installations, line upgrades, and factory modifications from initial concept through startup</p><br> </li> <li> <p>Practical working knowledge of cGMP standards, validation protocols including Design Qualification, Installation Qualification, Operational Qualification, Performance Qualification, and EOHS/OSHA safety regulations</p><br> </li> <li> <p>Proficiency in CAD software such as AutoCAD or related products</p><br> </li> </ul> <p><strong>Even better if you have:</strong></p><br> <ul> <li> <p>A Master's degree</p><br> </li> <li> <p>Experience with capital budget tracking software such as SAP</p><br> </li> <li> <p>Active Project Management Professional certification</p><br> </li> <li> <p>Hands-on experience with high-speed automated packaging, hygienic design, or liquid processing systems</p><br> </li> <li> <p>Experience managing external engineering firms and construction contractors on active production floors</p><br> </li> </ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>As a Colgate-Palmolive Packaging Engineer you will be supporting the North America pillar of Oral Care. You will be responsible for the development and implementation of innovative packaging solutions, working collaboratively with the Global and Marketing Divisions, Supply Chain, and Procurement teams. You will also have broad responsibilities in supporting our Manufacturing Operations to drive quality improvements, production efficiencies and cost savings projects. Additionally, you will play a critical role for the technical transfer of projects from Packaging to Operations.</span></p><br> <p><strong><span>Your Day to Day and the Future</span></strong></p><br> <ul> <li> <p><span>Partner closely with North America (NA) Marketing and Design to bring innovative new products and packaging to the market, meeting brand and business requirements</span></p><br> </li> <li> <p><span>Coordinate and execute line trials to ensure package performance across all manufacturing sites, including on-site attendance of component and manufacturing startups (as needed)</span></p><br> </li> <li> <p><span>Analyze packaging quality issues, develop root-cause solutions, and drive the implementation of corrective and preventative actions</span></p><br> </li> <li> <p><span>Conduct vendor qualifications for new packaging materials, ensuring proper validation and manufacturing efficiency</span></p><br> </li> <li> <p><span>Manage the shipment of packaging component samples to cross-functional partners</span></p><br> </li> <li> <p><span>Develop packaging designs for new product launches. You will ensure that all solutions meet the CP requirements for Quality, Sustainability, brand equity, consumer experience, and manufacturing execution</span></p><br> </li> <li> <p><span>Responsible for Technology Transfer from Package Engineering to Manufacturing Operations to ensure new packaging systems perform as designed and meet operational targets</span></p><br> </li> <li> <p><span>Create cost and savings estimates, tooling and package qualification plans, technology transfer documentation (Design History Files) and final package component specifications</span></p><br> </li> <li> <p><span>Create component codes, Bills of Materials (BOMs), Manufacturing Specifications, and develop specific case/cube information</span></p><br> </li> <li> <p><span>Responsible for meeting timeline commitments, including project planning steps, supplier selection, capital expenditure estimates, and technology transfer associated with projects. Manage flow of packaging related information, and communicate project progress, actual costs, and any associated risks</span></p><br> </li> <li> <p><span>Interface with the Innovation teams to identify new and innovative packaging solutions, and work with other cross-functional teams to bring them to life through meticulous planning, design execution, and rigorous testing</span></p><br> </li> <li> <p><span>Help identify or execute cost saving opportunities in your area of responsibility, and work towards implementation together with multiple cross-functional collaborators</span></p><br> </li> </ul> <p><strong><span>You'll need to have:</span></strong></p><br> <ul> <li> <p><span>Bachelor's Degree in Package Engineering/Technology/Science or related field</span></p><br> </li> <li> <p><span>3+ years Package Development or similar Engineering experience&nbsp;</span></p><br> </li> <li> <p><span>Fundamental understanding of printing and decoration techniques for plastics, labels, or paperboard materials</span></p><br> </li> <li> <p><span>Knowledge of laminate tubes, PET bottles, paperboard folding cartons, or corrugated shippers</span></p><br> </li> </ul> <p><strong><span>Even better if you have:</span></strong></p><br> <ul> <li> <p><span>Experience working in a complex manufacturing or plant environment, with the ability to operate as a self-starter and communicate effectively with senior leaders and remote team members</span></p><br> </li> <li> <p><span>Product design and development experience in the CPG field</span></p><br> </li> <li> <p><span>Understanding of extrusion blow molding, injection molding, paperboard and corrugated packaging designs.&nbsp;</span></p><br> </li> <li> <p><span>Product testing, data collection, data analysis and assessing pass / fail criteria to determine final product approval</span></p><br> </li> <li> <p><span>Knowledge of packaging materials and conversion processes, such as extrusion blow molding, injection molding, and exposure to final product filling and assembly</span></p><br> </li> <li> <p><span>Experience using Google Suite applications, SAP or other ERP software and/or similar computer systems.</span></p><br> </li> <li> <p><span>Experience with CapePack or Tops software for case/cube development</span></p><br> </li> </ul> </div>

<p>Essential Job Functions: Design, develop, and maintain scalable document ingestion and processing pipelines to support enterprise knowledge management and AI-powered applications. Build and optimize multi-stage data workflows for extracting, transforming, enriching, and indexing content from diverse document formats including PDF, PPTX, DOCX, CSV, and image-based sources. Implement advanced document processing capabilities, including metadata extraction, content chunking, classification, summarization, and information retrieval workflows. Manage vector database indexing strategies and search optimization to ensure high-quality retrieval performance and relevance. Develop and maintain MCP-compatible tool servers that securely expose enterprise databases, APIs, cloud platforms, and external services to AI agents. Design and implement event-driven architectures leveraging messaging and integration services to enable scalable and responsive data processing solutions. Create and deploy data analysis, document intelligence, and knowledge retrieval agents using reusable development templates and platform tooling. Collaborate with cross-functional teams to deliver reliable, scalable, and innovative data engineering and AI-driven solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in Python development and data pipeline engineering.</li><li>Hands-on experience designing and maintaining ETL/ELT workflows using orchestration platforms such as Dagster, Airflow, or equivalent technologies.</li><li>Strong proficiency with document processing frameworks and libraries for extracting and transforming content from structured and unstructured data sources.</li><li>Experience working with vector databases, embedding models, semantic search technologies, and retrieval optimization techniques.</li><li>Familiarity with Azure data and AI services, including Azure AI Search, Blob Storage, Event Hub, Document Intelligence, or comparable cloud-native platforms.</li><li>Proven experience developing containerized applications and pipeline components using Docker and modern deployment practices.</li><li>Strong understanding of REST API design, integration patterns, and service-oriented architectures.</li><li>Experience building scalable ingestion, indexing, and retrieval systems for data-intensive applications.</li><li>Experience with Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge management platforms is a plus.</li><li>Familiarity with event-driven system design and distributed data processing patterns is preferred.</li><li>Knowledge of AI agent ecosystems, MCP integrations, and modern data-to-agent architectures is highly desirable.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Excellent communication and collaboration abilities across technical and business stakeholders.</li><li>Relevant certifications in Azure, Data Engineering, Artificial Intelligence, or Cloud Technologies are a plus.</li></ul>

<p>Essential Job Functions: Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0. Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability. Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies. Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems. Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks. Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery. Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks. Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles. Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning. Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD). Experience working with API gateway platforms such as Kong, Apigee, or similar technologies. Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation. Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.</p><p>Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus. Knowledge of cloud-native architectures and modern distributed systems is preferred. Strong analytical, problem-solving, and communication skills. Demonstrated ability to learn emerging technologies and apply them in innovative business solutions. Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description Smeetz is an AI-powered unified commerce platform for the European leisure and entertainment industry.<br> Theme parks, family entertainment centres, museums, zoos, and theatres run their ticketing, seating, F&amp;B, and payments on us.<br> This role owns our two AI surfaces: the Smeetz MCP server and the AI chatbot.<br> You own them end to end.<br> You talk to the venues using them, you decide what to build next, you write the production code, and you watch what happens once it is live.<br> There is no product manager between you and that decision.<br> Reports to the VP of Engineering.<br> No direct reports.<br> The authority in this role is over a surface area, not over people.<br> Key responsibilities A product engineer owns a piece of the product end to end: choosing what to build, building it, and improving it once real customers are using it.<br> Here that piece is our AI surfaces.<br> Own the Smeetz MCP server and the AI chatbot.<br> Both are yours end to end: the tool surface, the agent behaviour, and the guardrails on what they are allowed to do.<br> Decide what to build next.<br> Run discovery on your own area.<br> Talk to venue operators, read the traces, pick the work, write the spec yourself, ship it, then measure it.<br> Own reliability and performance.<br> Latency, error rates, and the call patterns clients actually generate.<br> You get full observability data to work from and the mandate to act on it.<br> Build the eval layer.<br> Make prompt and model changes measurable before they ship, not after a customer notices.<br> Write things down.<br> The surfaces you own should be understandable by the next engineer without you in the room.<br> Documentation sits in your objectives, not in the gap at the end of a sprint.<br> Raise the bar on AI-native delivery.<br> Extend our shared Claude Code skill library so the rest of engineering ships the way you do.<br> A published dual career ladder.<br> Grow to Staff AI Product Engineer without becoming a manager, on pay bands comparable to the management track.<br> Full ownership of two AI surfaces that are core product, not a side project.<br> Direct contact with the venue operators who use what you build.<br> Modern AI-native tooling: Claude Code with a shared internal skill library.<br> Fully remote position.<br> Competitive salary based on experience.<br> Band to confirm.<br> Professional requirements Minimum 5 years shipping production code, including at least one system you owned end to end with the on-call that comes with it.<br> Minimum 2 years building LLM features that reached real users: tool calling, structured outputs, evals, cost and latency control, and the failure modes that only appear in production.<br> Prototypes do not count.<br> Demonstrated expertise in an AI-native SDLC.<br> You work in Claude Code or an equivalent agentic environment every day, and you build your own skills, hooks, and automations rather than using AI as autocomplete.<br> Be ready to show what you automated and what it replaced.<br> Experience designing an API or tool surface for agents rather than for humans: naming, granularity, and error messages a model can recover from without a human stepping in.<br> You run discovery yourself.<br> Bring customer conversations you led, specs you wrote, and success metrics you set and were measured against.<br> Fluent in English.<br> Additional preferred skills Langfuse, or another LLM observability tool such as LangSmith, Braintrust, or Phoenix.<br> Ours is Langfuse and it is already wired into the MCP server.<br> The MCP specification itself, beyond having used it as a client.<br> The Anthropic Claude API and tool use.<br> Most of what we build sits on Claude.<br> Retrieval and evals over a support knowledge base.<br> Intercom Fin experience is directly relevant.<br> Guardrails for agents with write access: permissions, confirmation steps, prompt injection, PII.<br> French or German.<br> Personal attributes Owner: Defaults to ownership.<br> The surface works because you are in the seat.<br> AI-native: Lives inside Claude and agents.<br> Treats AI as leverage, not as a side project.<br> Product-minded: Starts from the operator's problem, not from the ticket.<br> Decisive: Kills their own ideas and can say what they gave up and why.<br> Writer: Leaves the codebase better documented than they found it.<br> At ease in ambiguity: There is no groomed backlog for this area.<br> That is the appeal, not the problem.<br> Measured: Defines success before building and accepts the number.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>CCoE, Cloud Architect<br><b>Job Description:</b><p>The Cloud and AI Center of Excellence is the technical resource for helping partners grow and manage their cloud business. As a member of this integral team you will be exposed to all the hyperscalers and many ISVs that reside in that ecosystem. You will also understand how partners work with these providers to design and implement innovative solutions for the SMB and Enterprise.<br>You will become a trusted advisor and guide for driving revenue at scale through ArrowSphere, our cloud management platform.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li>Consult, develop and implement technical and related sales enablement plans with partners and internal/external customers to support revenue and margin goals.</li><li>Provide Technical Support, complex sales tool configurations, and systems design to implement systems software solutions and/or products.</li><li>Conduct partner and sales technical team training. Assist Arrow customers and partners with technical certifications, or with product/technology demonstrations.</li><li>Obtain training and maintain knowledge of industry standards, new technologies and current issues.</li><li>This job profile requires the assignment and participation in a sales compensation plan. &nbsp;A portion of OTE will be variable and tied to specific sales-related goals as set forth by Arrow.</li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li>Certified Solutions Architect or Solutions Engineer in at least one of the major hyperscalers is required.</li><li>Experience and knowledge working with partners in the cloud ecosystem is required.</li><li>Required to travel up to 50% of the time.</li><li>Requires in-depth knowledge and experience</li><li>Solves complex problems; takes a new perspective using existing solutions</li><li>Works independently; receives minimal guidance</li><li>Acts as a resource for colleagues with less experience</li><li>Represents the level at which career may stabilize for many years or even until retirement</li><li>Uses best practices and knowledge of internal or external business issues to improve products/services or processes</li><li>Typically resolves complex problems or problems where precedent may not exist</li><li>Often leads the work of project teams; may formally train junior staff&nbsp;</li><li>Works independently</li></ul><p><br><b>Experience / Education</b></p><br><br><p>Typically requires a minimum of 5 years of related experience with a 4 year degree; or 6 years and an advanced degree; or equivalent experience.</p><br><br><br><p><b>Work Arrangement</b></p><br><br><p><span><span>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.&nbsp;</span></span></p><br><br><br><p><b>What's In It For You</b></p><br><br><p><span><span>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.</span><span>That’s</span><span>why we offer competitive financial compensation, including various compensation plans and a solid benefits package.</span></span></p><br><br><ul><li><span><span>401k, With Matching Contributions</span></span></li><li><span><span>Short-Term/Long-Term Disability Insurance</span></span></li><li><span><span>Medical, Dental, Vision Insurance</span></span></li></ul><br><ul><li><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options</span></span></li><li>Reinstatement return eligible</li><li><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></li><li><span><span>Tuition Reimbursement</span></span></li><li><span><span>Growth Opportunities</span></span></li><li><span><span>And more!</span></span></li></ul><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$115,800.00 - $160,050.00<br><p><span>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.</span></p><br><br><b>Location:</b>US-CO-Colorado (Remote Employees)<br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Sales<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br><p><i><span>In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</span></i></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Lear For You</b> <br> </span><p><span>We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because <strong>we want to be more for you.</strong></span></p><br> <p><span>A path to a better career. A better future.</span></p><br> <p><span>Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.</span></p><br> <p><span>They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.</span></p><br> <p><span>Are you ready for a better career? A better future?</span></p><br><br><br><b>Responsibilities</b> <br> <p><span>Our future process engineer will be responsible for setting and optimizing the process flow in the plant. Designing and managing the Manufacturing of tooling and improve continuously the process and equipment.</span></p><br> <br><br><b>Job Description</b> <br> <p><span><strong>Additional duties will include (but may not be limited to):</strong></span></p><br> <ul> <li><span>Define, install and release Manufacturing processes and ensure their their PFMEA analysis</span></li> <li><span>Comply with schedule of production line transfers and new project lauching plannings</span></li> <li><span>Lead and implement engineering changes, with minimal investment and a drive for zero obsolescence</span></li> <li><span>Ensure effective process planning with the goal to maximize resource utilization</span></li> <li><span>Update and maintain standard work instructions (SWI)</span></li> <li><span>Conduct method and time studies as a tool to optimize resource planning</span></li> <li><span>Review and manage Process FMEA using APiS software</span></li> <li><span>Assume responsibility for the receipt and accurate control of patterns and/or CAD data</span></li> <li><span>Manage machine sofwares and production and testing programs</span></li> <li><span>Where needed, ensure cutting dies are manufactured according to customer specifications and/or CAD data</span></li> <li><span>Coordinate with suppliers and ensure adherence to latest engineering revision levels</span></li> <li><span>Update and maintain plant layout drawings using AutoCAD</span></li> <li><span>Comply with all relevant Lear procedures and policies</span></li> </ul> <p><span><strong>To be a success in this role you must have:</strong></span></p><br> <ul> <li><span>Industrial, Electrical or Mechanical Engineering (or any equivalent qualification)</span></li> <li><span>3 to 5 years working experience in the automotive industry</span></li> <li><span>Good Communications Skills&nbsp;</span></li> <li><span>Solid Experience in PFMEA analysis</span></li> <li><span>A good experience in the utilization MS Office package, AUTOCAD.</span></li> <li>Good communication skills in both French and English is required</li> </ul> <p>#LI-EH1&nbsp;</p><br><br><br><b>Equal Opportunity Employer</b> <br> <p><span><em>Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.</em></span></p><br> <p><span><em>We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.</em></span></p><br> <p><em><span>Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.</span></em></p><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p><em>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 95,000 employees in 23 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</em></p><br><p>&nbsp;<em>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</em>.</p><br><br><br>Job Description<p>- Ensures that board design orders are completed in line with defined deadlines<br></p><br><p>- Creates or modifies board designs according to the defined requirements<br></p><br><p>- Analyses and implements internal and customer change documentation in line with change management process requirements<br></p><br><p>- Ensures the implementation of released standards and best practices for board designs<br></p><br><p>- Ensures that board designs meet the ergonomic requirements<br></p><br><p>- Ensures the compilation and maintenance of the bill of materials for assembly boards<br></p><br><p>- Identifies optimizations/proposals for improvements of assembly board designs<br></p><br><p>- Supports the resolution of queries raised by Production Preparation department during the manufacture of 1st off designs<br></p><br><p>- Supports the release and validation process of the design and final board</p><br><br><br>Qualifications and Experience<ul><li><strong><em>Level of Education :</em></strong>&nbsp;University degree</li><li><strong>Field of Study:</strong>&nbsp;Technical/Scientific</li><li><strong>Experience:</strong>&nbsp;2&nbsp;year of experience are appreciated</li><li><strong><em>Language :</em></strong>&nbsp;French &amp; English&nbsp;</li><li><em><strong>IT:</strong></em>&nbsp;Microsoft Office</li><li><strong><em>Social competences:</em></strong>&nbsp;Communication, social &amp; intercultural sensitivity, change management, target &amp; result orientation, motivation &amp; resilience, self-organization, conflict management, teamwork</li><li><strong>Pofessional Skills:&nbsp;</strong>Workstation Design / Engineering Optimization / Engineering Standards and Procedures / Ergonomics / Engineering Principles / Equipment Validation</li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>