Emplacement

Paris
France
France

Contrat

À plein temps, Durée indéterminée

Date de publication:

2026-11-10

Online to:

2027-01-09
EUR 20.00 HOUR

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Senior AI Engineer (AI Enablement)

Kpler
France
2 heures il y a

p Paris / Athens /pp Engineering – Engineering Cloud Platform / /pp Full-time / /pp Hybrid /pp pAt Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. /ppSince our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. /ppp emThe Senior AI Engineer will join Kpler#39;s new AI Enablement crew, whose mission is to give every function in the company the tools, frameworks, and AI agents to work with AI at scale. /em /pp emA senior individual contributor role: you design, build, and operate production-grade AI systems - agents and assistants, shared frameworks, knowledge bases, and the integrations that connect them to company systems - and own solutions end-to-end, from understanding a function#39;s workflow with its champions through deployment, measurement, and iteration. /em /pp emYou bring engineering rigour to a fast-moving space: the systems you ship must be reliable, observable, safe, and worth their cost. /em /pp emYou will also help raise the bar for AI-assisted engineering across Kpler and mentor less experienced engineers in the crew. To begin with, the emphasis will be on delivering Kpler#39;s company-wide AI adoption plan; the scope is expected to broaden as internal AI usage matures. /em /p /p /pp ph3 Key Responsibilities /h3p ppullipDesign, build, and operate AI systems for internal functions — agents, assistants, and automations — owning them end-to-end from design through production operation. /p /lilipBuild the shared foundations of the crew#39;s platform: frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations with company systems. /p /lilipWork directly with functional champions to understand their workflows, identify high-leverage automation opportunities, and turn them into deployed solutions. /p /lilipImplement security guardrails and responsible-AI practices in everything shipped: access control, data privacy, auditability, and human-in-the-loop where it matters. /p /lilipMake systems measurable: instrument adoption, quality, cost, and time savings, and use the data to iterate. /p /lilipKeep owned systems reliable, observable, and maintainable - including production incident response and RCA. /p /lilipContribute to the AI software factory for engineering: rules, skills, and agents that codify Kpler#39;s engineering standards, and AI-assisted development practices across crews. /p /lilipProvide clarity through documentation, proposals, and runbooks; share knowledge across the crew and company. /p /lilipMentor other engineers in the crew and contribute to hiring and onboarding. /p /li /ul /p /p /p /p /pp ph3Experience Background /h3p pppstrongEssential: /strong /pullip5+ years of software engineering experience building and operating production systems end-to-end. /p /lilipHands-on experience shipping LLM-powered features, agents, or AI tooling to production (not just prototypes). /p /lilipStrong integration experience: third-party SaaS APIs, internal services, data pipelines. /p /lilipSolid grounding in system design, APIs, databases, and application architecture. /p /lilipExperience working directly with non-technical stakeholders to shape and deliver solutions. /p /lilipPractical understanding of security and data-privacy constraints around AI systems. /p /lilipStrong programming in Python and/or TypeScript. /p /lilipLLM application engineering: model APIs, agent frameworks, prompt/context engineering, RAG and knowledge bases. /p /lilipAPI design and systems integration across multiple SaaS platforms and internal systems. /p /lilipCloud environments (AWS preferred), CI/CD, containerisation. /p /li /ulpstrongDesirable: /strong /pullipExperience with agent frameworks, MCP-style tool interfaces, or multi-agent systems. /p /lilipExperience with RAG/knowledge-base systems and LLM evaluation/observability tooling. /p /lilipExperience building internal tools, platform tooling, or developer-experience products. /p /lilipCost optimization of LLM workloads. /p /lilipFull-stack experience for user-facing internal tooling. /p /li /ul /p /p /p /p /pp pWe are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? /ppstrongWe make things happen /strong /ppWe act decisively and with purpose, going the extra mile. /ppstrongWe buildtogether /strong /ppWe foster relationships and develop creative solutions to address market challenges. /ppstrongWe are here to help /strong /ppWe are accessible and supportive to colleagues and clients with a friendly approach. /ppOur People Pledge /ppDon’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. /ppKpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. /ppBy applying, I confirm that I have read and accept the a Staff Privacy Notice /a /p /p

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Senior AI Engineer (AI Enablement)

Emplacement

Contrat

Date de publication:

Online to:

Senior AI Engineer (AI Enablement)

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