Project Engineer Jobs in Tunisia
64 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>This role provides oversight and direction of the DAPP Tunisia country programme and its staff, acting as the liaison between the DAPP secretariat and the implementing organizations in Tunisia. While not directly managing project implementation staff, the Project lead is responsible for ensuring coordination of approaches for impactful and efficient programmes. This will be accomplished through coordination and allocation of resources from the implementing partners. The role will also involve high level representation with key policy making stakeholders and donors. Your main duties and responsibilities will be: Program: • Lead inception phase fine-tuning of approaches related to all 5 outputs of the DAPP project in Tunisia and in consultation with what is being planned in other countries • Support in the selection of strategic partners for the programme • Coordinating programme delivery in close collaboration with in-country partners • Oversee budget expenditures and advise on budget reallocation needs if required • Record and report on program progress (activity + finance) as required by the DAPP secretariat in Denmark • Lead the development and implementation of the DAPP Tunisia exit strategy in close collaboration with implementing partners, the DAPP Secretariat, and relevant stakeholders Quality Assurance: • Develop and implement country level MEAL tools and report as required to DAPP secretariat in Copenhagen • Quality assure country results and activities • Working closely with MERL unit to advice on recommendations for acceleration projects • Coordinate and shar learning with relevant partners in Tunisia and with other country program as required • Advise on inclusion of gender equality in Partners programming. Representation and Coordination: • Organize regular country level coordination meetings with all DAPP partners in Tunisia to ensure efficient coordination and synergy between DAPP partners • Organize regional activities with the other country coordinators • Organize regular meetings with strategic partners to share program progress and ensure visibility of the programme • Act as main program representative in Tunisia, in close coordination with DRC CD, towards national and local authorities</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>To be successful in this role we expect you to have At least 10 years of experience with international development cooperation and institutional development, as well as solid experience in the practical and theoretical aspects of human rights standards and their implementation.</li><li>Moreover, we also expect the following: • Experience in identifying and engaging staff with development and subject-matter expertise; • Experience from similar programmes in the region and the focus countries, including planning, reporting, preparing analytical work, dialogues, and workshops as well as process facilitation. • Experience working with a variety of stakeholders and partners related to gender equality.</li><li>Master s degree in relevant field.</li><li>English (C1 level - CEFR scale )</li><li>French (preferred but not required C1 level CERF scale)</li><li>Preferred but not required: Arabic (C2 level - CEFR scale)</li></ul><p>In this position, you are expected to demonstrate DRC five core competencies:</p><ul><li>Striving for excellence: You focus on reaching results while ensuring an efficient process.</li><li>Collaborating: You involve relevant parties and encourage feedback.</li><li>Taking the lead: You take ownership and initiative while aiming for innovation.</li><li>Communicating: You listen and speak effectively and honestly.</li><li>Demonstrating integrity: You uphold and promote the highest standards of ethical and professional conduct in relation to our values and Code of Conduct, including safeguarding against sexual exploitation, abuse and harassment.</li></ul><p></p></section>
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<br>Job Description<br><br><p><strong>Mission</strong></p><br><ul><li><strong>Key missions of the position: </strong></li><li>Responsible for driving & executing process engineering KPIs for Panto, HVAC SFU (Small factory unit)</li><li>Responsible for Production Capacity Enhancement to meet the customer demand.</li><li>Establishment and prove out the process for New Products.</li><li>Collaborate with Production team on day-to-day basis to assess & improve the existing processes.</li><li>Establishment of process for new products and process documents like process data sheet (PDS), operation data sheet (ODS), Assembly instructions sheet (AIS) etc.,</li><li>Facility creation for new projects and process improvements in existing Projects.</li><li>Collaborate with Production team on day-to-day basis to assess & improve the existing processes.</li></ul><p><strong>Responsibilities</strong></p><br><ul><li>Continuous improvement /process establishment for the existing and new products in Panto & HVAC line.</li><li>Productivity improvement /Cost savings in the respective SFU.</li><li>Derive Process for new Products and establish the same till Productionization and Handover.</li><li>Generation and maintenance of key documentation (PFD, PFMEA And WI) with the support of the CFT Team.</li><li>Establishment of new facility equipment’s and proving the process</li><li>Establishment of process for new products and make it’s corresponding documents like process data sheet (PDS), operation data sheet (ODS), Assembly instructions sheet (AIS) etc.,</li><li>Preparation of assembly cell layout and plant layout.</li><li>To respond the QRQC issues in SFU</li><li>Establish time standards for existing and new products.</li><li>Capacity Planning and drive Capacity Enhancement projects</li><li>Optimize process flow through layout.</li><li>Drive Ergonomics Improvement activities</li><li>Drive Performance measurement of the lines through OEE, Output / person</li><li>Monitor Oracle sanity and drive reduction of negative inventory due to MBOM error in SFU.</li><li>Coordinate for Customer, statutory audits and take necessary action on PED BBS points.</li><li>Capacity and capability analysis and inputs to Strap and SIOP</li><li>Budgetary Control for Capital Investment for project and existing products.</li><li>Preparing of Return on Investment (ROI) for each capital investments to make justification to Top management</li></ul><p>People Management: YES ¨ NO ¨</p><br><p>If People Management, how many employees are managed?</p><br><p>Number of people :</p><br><p>Budget Management: YES ¨ NO ¨</p><br><p><strong>Required Candidate Profile</strong></p><br><p><strong>Education/Training</strong></p><br><ul><li><em>What education and education level are necessary for the position?</em></li></ul><p>B.E – Mechanical Engg</p><br><p><strong>Professional</strong><strong> Experience</strong></p><br><ul><li>How many years of professional experience in a specific professional area are required for the position?</li></ul><p>Over all 5 to 6 years of experience in Production Engineering functions.</p><br><p><strong>Key Competences (Transversal/Professional)</strong></p><br><p><strong>Competence</strong></p><br><p><strong>Level</strong></p><br><p>Study & Analysis High</p><br><p>Oral/ written communication High</p><br><p>Teamwork / Collaboration High</p><br><p>Leadership High</p><br><p><strong>Languages</strong></p><br><p>English, Tamil, Hindi (Preferable)</p><br><p><strong>Other Specifications</strong></p><br><p>Self-driven, Self-motivated, Dynamic, Interest to learn and explore new things, Analytical thinking.</p><br><br>Additional Information<br><br><p><strong>What could you accomplish in a place that puts People First?</strong></p><br><p>At Wabtec, it’s not just about a job - it’s about the impact you make. When our people come together, we’re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.</p><br><p>If you’re ready to revolutionize how the world moves for future generations, Wabtec is the place for you.<br> </p><br><p><strong>Who are we?</strong></p><br><p>Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it’s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together – are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.</p><br><p>Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We’re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com.</p><br><p><strong>Culture powers us and the possibilities.</strong></p><br><p>We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We’re building a culture where leadership, inclusion and your unique perspective fuel progress.</p><br><p><br>We’re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.</p><br><p>Need accommodation? Just let us know - we’ve got you.</p><br> </div>
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<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>
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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&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&D</li><li>Rédiger et maintenir les procédures d'installation, guides de configuration, comptes rendus et documents d'exploitation</li></ul> <p><strong>Profil & 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>
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<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>
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<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>
<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>
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<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>
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<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>
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Company Description<br><p>Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and automotive industry. Sika has subsidiaries in 103 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. With more than 34,000 employees, the company generated sales of CHF 11.2 billion in 2023.</p><br><br>Job Description<br><p><strong>Mission :</strong></p><br><p>The Sales Engineer infrastructure is responsible for leading and driving the sales team to achieve company revenue targets. This role includes setting strategic goals, managing the sales pipeline, and building strong client relationships. The ideal candidate will have proven experience in sales leadership, a strong understanding of sales processes, and the ability to motivate and inspire a team. The Sales Engineer infrastructure will play a critical role in developing sales strategies that align with business objectives and contribute to overall growth.</p><br><p><strong>Key Responsibilities and Accountabilities</strong></p><br><ul><li>Develop effective sales strategies to drive revenue growth and market expansion.</li><li>Take full ownership of the company’s sales target, setting clear and measurable objectives for the team to ensure quarterly and annual targets are met or exceeded.</li><li>Conduct regular reviews of sales targets, adjusting strategies as needed to ensure continuous progress.</li><li>Conduct regular analysis of market trends, customer needs, and competitor activity to adjust strategies as needed.</li><li>Oversee the management of the sales pipeline, ensuring accurate forecasting and alignment with targets.</li><li>Track, analyze, and report on team metrics, such as lead conversion rates and average deal size, to ensure consistent progress towards goals.</li></ul><br>Qualifications<br><p><strong>Engineering degree or 5 years of higher education in</strong>:</p><br><p>Civil engineering / Materials science / Process engineering /Industrial chemistry</p><br><p><strong>Key commercial skills</strong></p><br><p>Analysis of customer needs (companies, developers, construction, prefabrication)</p><br><p>Ability to translate site requirements into technical concrete solutions</p><br><p>B2B negotiation</p><br><p>Customer portfolio management</p><br><p>Drafting technical and commercial proposals</p><br><p>Site monitoring & technical after-sales service</p><br><p>Concrete & materials</p><br><p>Drafting technical and commercial proposals</p><br><p>Site monitoring & technical after-sales service</p><br><br>Additional Information<br><p><strong>Special requirements</strong></p><br><ul><li>Undertake such additional duties which may from time to time be required. </li><li>Work overtime when needed in after Working time or weekend.</li></ul><p>We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.</p><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Main duties: System Specifications management: Deep dive analyzes of system specifications and issues et inconsistency detection. System Modeling: create detailed modeling of systems based on structure diagrams, sequence diagrams and state machine diagrams. Ensuring the right traceability between the model and the specifications. Troubleshooting and resolving technical issues within assigned function. Validation of the model through simulations and issue analyses to ensure system and model reliability. Leading discussions and managing workflows between different teams, including development, suppliers and others. Delivering detailed testing reports and progress updates to stakeholders. Working to improve the function and deliver the best possible product for customers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Level : Bac + 5</li><li>Schools : ENIS, ENIG, ENIT, ENISo</li><li>Diploma : Engineer</li><li>Option : Electric, Electronics, - Electromechanics, Automatic</li><li>Required experience : 0 5 years</li><li>Languages : Frensh, English</li><li>Software skills : Rhapsody, EWM, Visio</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Context & 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>
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<b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities </b></p><br><ul>
<li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li>
<li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li>
<li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li>
<li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li>
<li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li>
<li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li>
<li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li>
<li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li>
<li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li>
<li>Work on Gen AI related initiatives aligned with the company goals.</li>
</ul><br><p><b>Required Technical Skills</b></p><br><ul>
<li>PySpark - Batch and Streaming</li>
<li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li>
<li>NoSQL (preferably MongoDB)</li>
<li>Programming languages: Scala/Python</li>
<li>Great Expectation, or similar DQ framework</li>
<li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li>
<li>Understanding of Data Governance, Data Warehousing and Data Modelling</li>
<li>Good SQL knowledge</li>
</ul><br><p><b>Business</b></p><br><ul>
<li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li>
<li>Proactively identify and contribute with team development initiatives, and supporting junior members</li>
</ul><br><p><b>Good to have skills</b></p><br><ul>
<li>Infrastructure-as-Code, preferably Terraform</li>
<li>Docker and Kubernetes</li>
<li>Looker</li>
<li>AI / ML engineering knowledge</li>
<li>Lineage, or relevant tools e.g. Atlan</li>
<li>DBT</li>
</ul><br> </div>
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<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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Mission : The Sales Engineer infrastructure is responsible for leading and driving the sales team to achieve company revenue targets. This role includes setting strategic goals, managing the sales pipeline, and building strong client relationships. The ideal candidate will have proven experience in sales leadership, a strong understanding of sales processes, and the ability to motivate and inspire a team. The Sales Engineer infrastructure will play a critical role in developing sales strategies that align with business objectives and contribute to overall growth. Key Responsibilities and Accountabilities Develop effective sales strategies to drive revenue growth and market expansion. Take full ownership of the company s sales target, setting clear and measurable objectives for the team to ensure quarterly and annual targets are met or exceeded. Conduct regular reviews of sales targets, adjusting strategies as needed to ensure continuous progress. Conduct regular analysis of market trends, customer needs, and competitor activity to adjust strategies as needed. Oversee the management of the sales pipeline, ensuring accurate forecasting and alignment with targets. Track, analyze, and report on team metrics, such as lead conversion rates and average deal size, to ensure consistent progress towards goals.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Engineering degree or 5 years of higher education in : Civil engineering / Materials science / Process engineering /Industrial chemistry Key commercial skills Analysis of customer needs (companies, developers, construction, prefabrication) Ability to translate site requirements into technical concrete solutions B2B negotiation Customer portfolio management Drafting technical and commercial proposals Site monitoring & technical after-sales service Concrete & materials Drafting technical and commercial proposals Site monitoring & technical after-sales service</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are a software editor for leading financial institutions with a presence on several continents. Our offerings are constantly evolving to meet our clients' needs (Cloud, AI). As part of the development of our PMS (Portfolio Management System) offerings and to ensure a level of quality that meets high standards, we wish to strengthen our QA team.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>NA</p><p></p></section>
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<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 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> Compensation On this project, contributors can earn up to $25 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>
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<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&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>
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<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>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design & Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market & Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></span> </div>