وظائف مهندس ميكانيكا معدات ثقيلة - تونس العاصمة تونس

<p>Assurer la surveillance des produits et des process selon les standards en vigueur Piloter et/ou participer des groupes de r solution des probl mes. Participer aux routines QRQC Traiter et suivre les non conformit s relatives aux produits et aux process dans l'atelier. Surveiller le respect des exigences clients, normatives et r glementaires dans son p rim tre. Faire le suivi des plans d'actions issus des r solutions des probl mes. Etablir et/ou mettre jour les instructions et les fiches d'enregistrement de contr le Arr ter toute op ration de production repr sentant un risque sur la qualit du produit. Mener des audits internes. Piloter et/ou participer des analyses de risque Assurer la qualification du personnel Piloter et/ou participer la qualification des proc d s Proposer des am liorations dans le p rim tre de l'atelier auquel il appartient R aliser le suivi des indicateurs</p><p><strong>Desired Candidate Profile</strong></p><p>ing nieur avec des connaissances en g nie m canique Une exp rience d'un an en qualit est souhait e</p>

<p><font dir="auto" ><font dir="auto" >Design, validate, and develop manufacturing and inspection documentation (routings, instruction sheets, bills of materials, allocations). Manage process modifications and ensure technical and documentary compliance. Analyze performance gaps and propose corrective and preventive action plans. Participate in risk analyses (FMEA, MFT, etc.) and the implementation of new processes. Contribute to the qualification and requalification of special processes. Ensure the industrialization/production handover and maintain operational readiness. Lead or co-lead Lean projects (VSM, 5S, SMED, line setup, visual management, etc.). Identify and prioritize areas for improvement on production lines. Contribute to a culture of continuous improvement and support technicians in implementing actions. Monitor performance indicators (OEE, scrap, non-quality, cycle time). Define production resource requirements (machines, jigs, tooling, etc.) and validate their technical conformity. Manage their commissioning, validation, and obsolescence. Coordinate technical training for operators and technicians on their use. Participate in the design or adaptation of workstations (ergonomics, safety, workflow).</font></font></p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" ><font dir="auto" >Analytical, synthesis and structuring skills</font></font></li><li><font dir="auto" ><font dir="auto" >Interpersonal communication</font></font></li><li><font dir="auto" ><font dir="auto" >Cross-functional project management (steering)</font></font></li><li><font dir="auto" ><font dir="auto" >Results orientation</font></font></li><li><font dir="auto" ><font dir="auto" >Group animation</font></font></li></ul>

<p><font dir="auto" ><font dir="auto" >Design, validate, and develop manufacturing and inspection documentation (routings, instruction sheets, bills of materials, allocations). Manage process modifications and ensure technical and documentary compliance. Analyze performance gaps and propose corrective and preventive action plans. Participate in risk analyses (FMEA, MFT, etc.) and the implementation of new processes. Contribute to the qualification and requalification of special processes. Ensure the industrialization/production handover and maintain operational readiness. Lead or co-lead Lean projects (VSM, 5S, SMED, line setup, visual management, etc.). Identify and prioritize areas for improvement on production lines. Contribute to a culture of continuous improvement and support technicians in implementing actions. Monitor performance indicators (OEE, scrap, non-quality, cycle time). Define production resource requirements (machines, jigs, tooling, etc.) and validate their technical conformity. Manage their commissioning, validation, and obsolescence. Coordinate technical training for operators and technicians on their use. Participate in the design or adaptation of workstations (ergonomics, safety, workflow).</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Analytical, synthesis, and structuring skills; interpersonal communication; cross-functional project management; results orientation; group facilitation</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities • Provision and administer approved cloud resources, platform services and access configurations.<br> • Monitor workloads, performance, availability and utilisation and respond to operational events.<br> • Apply approved security baselines, identity controls, tagging, logging and configuration standards.<br> • Support hybrid connectivity and dependencies with on-premises infrastructure, networks and applications .<br> • Provide cost, utilisation and optimisation analysis; implementation remains subject.<br> . • Maintain cloud inventories, diagrams, procedures, configuration records and recovery documentation.<br> • Support incident, problem and change management and contribute to root-cause analysis.<br> • Assist with TDRA-hosted or other approved environments once the target model and access are confirmed.<br> Minimum Experience and Qualifications • Minimum 5 years of relevant cloud engineering and administration experience.<br> • Strong practical experience with Microsoft Azure and/or AWS in enterprise environments.<br> • Knowledge of cloud networking, identity, monitoring, security configuration, backup and cost management.<br> • Azure Administrator/Architect or AWS Solutions Architect certification preferred.<br> • Experience working through controlled privileged-access and change-management procedures.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Context &amp; Environment Maintien des sites logistiques en conformit technique par rapports aux standards. Maitrise des co ts /d lais. Mise en uvre des plans dActions techniques suite aux audits. Activities Etablissement des travaux dans les diffrents sites (d p t HCL Rad s et les sites aviations) de TolalEnergies Tunisie Effectuer avec les .responsables des siles ,les expressions des besoins des projets inscrits au budget dinvestissement et suivre le processus des travaux durant toutes les phases du projet Pr parer les tudes techniques et engager les bureaux d'tudes. Lancer les consultations et appels doffres des travaux en collaboration avec le service achat Assurer la prise en charge compl te des projets de la phase APD a la phase r alisation Assurer le suivi, le pilotage el le contrle de conformit durant les diffrentes phases Maintien des sites logistiques €n conformit technique par rapports aux standards planning N gocier et valider les modifications pouvant intervenir en cours de r alisation du projet Engager le contrle des r glements et des factures et participer dans la s lection, au choix et dans lEvaluation des fournisseurs en collaboration avec les Achats et le HSEQ Sassurer du respect des standards et des normes techniques dans les diffrentes phases du projet Etablir des commandes sur my eproc el r ceptionner les factures li es aux projets en cours Suivre les diffrentes phases exig es par le r f rentiel ONE-Maeslro dans la gestion des modifications Participer aux audits Maestro, Maestro-LOG el devaluations des risques et tablir les PAC ainsi que le suivi davancement des actions . Assurer lapplication des aspects HSE dans les diffrentes phases du projet. Effectuer les visites et contrles HSE des enlreprise8 lors de la r alisation des projets.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Dipl me d'ing nieur en g nie industrielle / g nie civile / m canique</p><p>Niveau d'exp rience : minimum 2 ans</p><p>Comp tences : gestion de projets, connaissances des sites industrielles, Bonne communication, Rigueur et Int grit , sens de s curit </p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>• Administer Windows and/or Linux server environments, virtualisation platforms, storage and associated infrastructure services.<br> • Monitor availability, capacity and performance; investigate alerts and restore service within agreed priority and escalation procedures.<br> • Plan and execute approved patching, configuration changes, hardening and lifecycle maintenance.<br> • Maintain server inventories, configuration records, operating procedures, diagrams and technical runbooks.<br> • Support incident, problem and change management, including root-cause analysis and corrective actions.<br> • Coordinate infrastructure dependencies with network, cloud, backup, cybersecurity, application and database teams.<br> • Support discovery, baseline assessment and transition activities for on-premises and any subsequently approved hosted environment.<br> • Participate in agreed on-call coverage for critical infrastructure incidents.<br> • Minimum 6 years of relevant infrastructure and server administration experience.<br> • Strong hands-on experience with Windows Server and/or enterprise Linux, Active Directory and virtualisation technologies.<br> • Practical knowledge of monitoring, patch management, storage, capacity planning and security hardening.<br> • VCP, MCSE/Microsoft role-based certification, RHCSA or Server+ preferred.<br> • Ability to produce clear technical documentation and work within controlled change processes.<br> • Experience operating hybrid on-premises and cloud environments.<br></span> </div>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</li><li>Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</li><li>Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</li><li>Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</li><li>Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</li><li>Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</li><li>Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</li><li>Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</li><li>Proficiency in automation scripting using Bash, Python, or similar languages.</li><li>Experience with infrastructure-as-code and cloud automation technologies is a plus.</li><li>Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</li><li>Strong problem-solving, troubleshooting, and analytical skills.</li><li>Excellent communication and collaboration skills with cross-functional technical teams.</li><li>Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, 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>

<p>Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions. Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration. Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality. Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices. Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling. Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews. Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence. Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</li><li>Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</li><li>Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</li><li>Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</li><li>Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</li><li>Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</li><li>Strong debugging, troubleshooting, and incident response capabilities in production environments.</li><li>Experience contributing to collaborative software development processes using modern version control and DevOps practices.</li><li>Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</li><li>Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</li><li>Strong analytical thinking, problem-solving, and decision-making skills.</li><li>Excellent communication and collaboration abilities in cross-functional team environments.</li><li>Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</li><li>Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</li></ul>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><b>Basic Qualifications:</b><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles. Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments. Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices. Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services. Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms. Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration. Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions. Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices. Proficiency in automation scripting using Bash, Python, or similar languages.</p><b>Other Qualifications:</b><p>Experience with infrastructure-as-code and cloud automation technologies is a plus. Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and collaboration skills with cross-functional technical teams. Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</p>

<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>Architect, develop, and maintain modern web applications using Next.js 15, leveraging App Router, Server Components, and server-side rendering (SSR) capabilities. Design and implement real-time user experiences using technologies such as Server-Sent Events (SSE) and WebSocket-based communication. Build scalable, schema-driven forms and multi-step workflows using modern validation frameworks and reusable UI patterns. Own application state management, authentication integration, and API communication layers to deliver secure and seamless user experiences. Design, develop, and integrate extensible mini-application frameworks, including secure sandboxing, dynamic module loading, and application verification mechanisms. Create, customize, and deploy AI-powered agents using vibecoding UI templates and platform development tooling. Collaborate with cross-functional teams to deliver responsive, high-quality, and innovative digital solutions that meet business objectives.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 5+ years of professional experience developing modern web applications using TypeScript and React.</li><li>Strong expertise in React development, including hooks, context API, component architecture, and server component patterns.</li><li>Hands-on experience with Next.js App Router, SSR, API routes, middleware, streaming, and modern frontend application architectures.</li><li>Proven experience implementing and maintaining scalable state management solutions, such as Redux Toolkit or equivalent technologies.</li><li>Experience building user interfaces with Tailwind CSS and modern component libraries such as Radix UI, shadcn/ui, or similar frameworks.</li><li>Solid understanding of real-time communication protocols, including SSE, WebSocket technologies, and event-driven UI development patterns.</li><li>Familiarity with Docker-based development workflows, CI/CD pipelines, and Kubernetes fundamentals.</li><li>Knowledge of AI-powered user experiences, LLM integrations, and agent-driven interaction models.</li></ul>

<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>

<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>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"> About the job Ingénieur Solutions Junior - TBML <p>L'Ingénieur(e) Solutions Junior participe à la mise en œuvre de notre solution TBML chez nos clients internationaux : préparation des environnements, intégration des données, tests, mise en production et accompagnement des utilisateurs. Le poste combine des dimensions techniques, fonctionnelles et relationnelles, en lien direct avec les clients, en français et en anglais, et en collaboration étroite avec nos équipes Produit, R&amp;D, QA et DevOps.</p><br> <p><strong><br>À propos de Vneuron et de Reis RCS</strong></p><br> <p><strong>Vneuron</strong> est une entreprise RegTech de premier plan, spécialisée dans la transformation de la conformité en matière de lutte contre la criminalité financière. Sa solution avancée, <strong>Reis RCS</strong>, optimise la gestion des risques, le filtrage AML et sanctions, et assure la conformité grâce à une supervision en temps réel, une détection des risques par IA et une gestion intégrée des dossiers.</p><br> <p>En 2025, Vneuron a été reconnue parmi les <strong>Top Innovators du FinCrimeTech50</strong>, a remporté le prix de la <strong>Meilleure solution de Compliance as a Service</strong> aux <strong>RegTech Insight Awards Europe</strong>, et figure dans l'<strong>AIFinTech100 2025</strong>. Elle est également distinguée pour la quatrième année consécutive dans le <strong>RegTech100</strong>.</p><br> <p>Chez Vneuron, nous construisons l'avenir de la conformité financière.</p><br> <p><strong>Notre culture et nos valeurs</strong></p><br> <p>Chez Vneuron, le développement de notre équipe est au cœur de nos priorités. Nous offrons un <strong>environnement de travail agréable et confortable</strong>, au sein d'une organisation <strong>collaborative</strong> et à structure <strong>plate</strong>, avec un management accessible et impliqué.</p><br> <p>Nous sommes portés par une équipe <strong>jeune</strong>, passionnée et engagée, où règnent le respect et l'esprit de partage. Vous évoluerez aux côtés d'<strong>experts chevronnés</strong> qui vous accompagneront dans le développement de votre carrière, tant sur le plan technique que personnel.</p><br> <p>Notre ambition est de diffuser nos technologies innovantes à l'échelle mondiale pour contribuer à un impact positif durable.</p><br> <p>Parce que nous croyons que chaque personne est unique et précieuse, nous valorisons l'<strong>écoute active de vos idées et propositions</strong>. Vous jouerez un rôle essentiel dans la réalisation de nos prochaines étapes stratégiques.</p><br> <p><strong><br>Missions principales</strong></p><br> <ul><li>Installer, configurer et déployer la solution TBML dans différents environnements : cloud, on-premise, test et production</li><li>Préparer les environnements et vérifier les prérequis techniques avant chaque installation</li><li>Participer à l'intégration des données, documents et flux Trade Finance provenant des systèmes clients</li><li>Configurer les différents composants de la solution, les référentiels et les scénarios de détection selon les besoins du projet</li><li>Contrôler la qualité et la cohérence des données intégrées dans la plateforme</li><li>Réaliser les tests techniques et fonctionnels, les sanity checks et les validations avant mise en production</li><li><span>Diagnostiquer et résoudre les problèmes liés à l'installation, à la configuration, aux données ou aux environnements</span></li><li>Participer aux ateliers de cadrage, démonstrations, recettes et réunions de suivi avec les clients</li><li>Présenter clairement l'état d'avancement, les résultats obtenus, les difficultés rencontrées et les prochaines étapes</li><li>Accompagner les utilisateurs dans la prise en main de la solution et répondre à leurs questions fonctionnelles ou techniques</li><li>Assurer le suivi des demandes et incidents clients jusqu'à leur résolution</li><li>Recueillir les retours des utilisateurs et les transmettre de manière structurée aux équipes Produit et R&amp;D</li><li>Rédiger et maintenir les procédures d'installation, guides de configuration, comptes rendus et documents d'exploitation</li></ul> <p><strong>Profil &amp; compétences</strong></p><br> <ul><li>Diplôme d'ingénieur en informatique, systèmes d'information, data ou domaine équivalent</li><li>Première expérience, stage ou projet significatif en développement, intégration, support applicatif ou mise en œuvre de solutions logicielles</li><li>Bonnes bases en Linux, Docker, bases de données, SQL et applications web</li><li>Aisance avérée avec les outils d'IA</li><li>Connaissances en Java, Spring Boot, Angular, PostgreSQL, Elasticsearch ou technologies similaires appréciées</li><li>Capacité à comprendre rapidement une architecture technique, des flux de données et des problématiques fonctionnelles</li><li>Très bon niveau de français et d'anglais, à l'écrit comme à l'oral</li><li>Aisance pour échanger avec des interlocuteurs techniques et métiers<br>Capacité à expliquer simplement un sujet technique, à poser les bonnes questions et à reformuler un besoin client</li><li>Esprit d'analyse, curiosité, rigueur et sens des responsabilités</li><li>Autonomie, polyvalence et capacité à intervenir sur des sujets variés</li><li>Disponibilité ponctuelle pour accompagner des mises en production ou des déplacements chez les clients</li></ul> <p><strong>Ce que nous recherchons</strong></p><br> <p>Nous recherchons avant tout une personne <strong>polyvalente</strong>, capable de comprendre un besoin client, de prendre en main une solution technique, d'intégrer des données, de participer à un déploiement et d'investiguer les éventuels problèmes.</p><br> <p>Le poste nécessite également une bonne <strong>qualité de communication</strong> : savoir écouter, expliquer, rassurer, rendre compte de l'avancement et maintenir une relation professionnelle avec le client tout au long du projet.</p><br> <p>Une connaissance de l'<strong>AML</strong>, du <strong>Trade Finance</strong> ou du <strong>TBML</strong> est un plus, mais n'est pas obligatoire. Une formation fonctionnelle et technique à la solution sera assurée.</p><br> <p><strong><br>Avantages</strong></p><br> <ul><li>L'opportunité d'évoluer dans des environnements stimulants et de contribuer à un impact positif à l'échelle mondiale.</li><li>Perspectives de développement de carrière.</li><li>Avantages santé et bien-être pour vous et votre famille.</li><li>Un environnement de travail agréable et évolutif, favorisant l'épanouissement personnel et professionnel.</li><li>Des conditions optimales pour vous permettre de vous concentrer sur ce que vous aimez faire.</li><li>Une équipe soudée, fondée sur le respect, le partage et la passion du métier.</li><li>Une politique d'égalité des chances, sans distinction de genre, de religion ou de culture.</li></ul> <p><strong>Prochaine étape</strong></p><br> <p>Si vous avez l'ambition de dynamiser votre carrière à travers de nouveaux défis, tout en valorisant votre potentiel et votre soif permanente d'apprentissage, ce poste est fait pour vous.</p><br> <p><strong>Postulez dès maintenant</strong> et devenez le prochain <strong>Spark</strong> !</p><br> <p>Suivez-nous sur LinkedIn pour en savoir plus sur l'équipe Spark et nos solutions Spark.</p><br> <p>Nous serons ravis de vous rencontrer et de vous fournir davantage d'informations.</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: 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>