🇫🇷 Boulogne-Billancourt, France · 18h ago
AI Engineer
Skaleet
LinkedInseniorEnglish-friendly
[SKALEET]Skaleet is a fast-growing tech scale-up specializing in Core Banking, helping financial institutions in 15 countries innovate, scale, and deliver superior banking experiences. Our mission: free European banks and fintechs from legacy core banking systems, so they can finally deliver modern, modular, real-time banking experiences, without compromising on compliance or robustness.Our ambition for the next five years: become the platform of choice for European financial institutions to modernize their infrastructure, scale their operations, and rapidly launch new banking services.[Job Description]💡ContextSkaleet just created its AI Team, with one clear ambition: enhance the banking operations of our clients through AI. Running a bank means thousands of daily back-office operations, our goal is to make these operations faster, more reliable, and more scalable.As an AI / ML Engineer, you'll join the AI Team and report directly to Thomas LINCK, VP Plateform. You'll build and own Skaleet's AI products, a suite of specialized banking agents letting back-office operators understand, analyze, and act on the platform in natural language, plus AI-powered automations that take over recurring operational processes end to end.You'll ship AI into production banking environments, where "mostly right" isn't an acceptable bar.👉Your future missionsArchitecture & deliveryBuild and ship Skaleet's AI products end to end, from early prototypes to production deploymentOwn the technical architecture of our agentic platform and continuously improve it by integrating the latest advances in foundation models, agent frameworks and AI engineeringAgents & reliabilityDesign reliable agentic workflows combining LLMs, tools, banking data and human oversightDefine how agents reason, retrieve context, call tools, handle failures and collaborate to complete complex banking operationsOwn AI quality, observability and evaluation, using traces, user feedback, annotated datasets, LLM-as-judge, calibration against human labels and regression gatesIntegration & dataBuild the integration layer between agents and Skaleet's platform: MCP servers and APIs, production-grade authentication, permission management, error handling, retries, idempotency and structured outputsDevelop the context and retrieval systems powering our agents: embeddings, vector search, hybrid retrieval, reranking and knowledge ingestion over Skaleet's product documentation and clients' business processesWork closely with data engineers to make banking data usable by AI systems: data models, pipelines, interfaces, tenant isolationSecurity & complianceImplement the safeguards required for banking use cases: human validation gates, permission scoping, tenant isolation, audit trails, explainability, safe failure modesProduct & iterationPrototype quickly, iterate with banking operators, identify high-value use cases and improve the product based on real operational feedbackEvaluate and integrate the best available AI models and technologies based on quality, latency, cost, security and regulatory constraintsThis role is about building systems on top of existing foundation models, not training models from scratch.[Desired Profile]✨ You are a great match if : Must-haveMinimum 5 years of software engineering experience, including significant hands-on experience building LLM-based agent systems in productionStrong Python backend skills: REST APIs, async, automated testingConcrete experience with tool calling, RAG, agent context/memory management, and LLM quality evaluationComfortable designing and integrating complex, data-intensive production systemsExperience monitoring and optimizing LLM systems in production: observability, tracing, cost and latency control at scaleWorking knowledge of guardrails and defenses against prompt injectionFluency in French and English, both written and spokenMaster's degree in Computer Science, Machine Learning, AI, Engineering, or equivalent hands-on experience.Bonus pointsStrong team player with product sensitivity — you can push back on a spec that's technically unrealistic, without waiting to be askedProactive, autonomous, entrepreneurial mindset, thrives on scale-up energyExperience in a regulated environment (banking, insurance, healthcare) where audit trail and human control are hard constraints — a plus, not a prerequisite🎉 The benefits of joining SkaleetRemote Policy: Work from home 2 days per week, offering you flexibility and balance.25 days of paid vacation and 12 additional days off (RTT) per year.The perfect health insurance: Alan Blue 🦝Lunch Matters: We provide a Swile card to cover your meals on workdaysAn entrepreneurial mindset and strong team spiritBeautiful, brand-new offices located in Boulogne-Billancourt, right next to Metro Line 10. 🏢[Recruitment Process]A first video call with Maxime from the HR team to get to know each other and tell you more about Skaleet, our company culture & values (30').A second video call with Louis to introduce you to Skaleet’s AI product vision, the project’s ambitions, and the role you could play (30’).A live coding interview to assess (60').A final meeting at our offices in Boulogne with Victor, our Chief of Staff (60').We look forward to discovering your profile !Sourced from LinkedIn. 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