[SKALEET]
Skaleet is a dynamic and fast-growing tech company specializing in Core Banking Solutions. We help financial institutions in 15 countries to innovate, scale, and deliver superior banking experiences to millions of end-customers.
At Skaleet, we thrive on collaboration, creativity, and a shared passion for redefining the future of banking.
Join us in our journey to transform the financial industry!
We are constantly looking for talented individuals to help us continue developing our solution and achieve our goals: 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 is to build the pan-European leader in modern Core Banking.
Over the next five years, our ambition is to become the platform of choice for European financial institutions to:
[Job Description]
Context
Skaleet created its AI Team with one 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 will join the AI Team, and will report directly to Nicolas Delfour, VP Engineering. You will have the opportunity to build and to 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, and AI-powered automations that take over recurring operational processes end to end) and lead the AI engineering team behind them ; shipping AI into production banking environments, where "mostly right" is not an acceptable bar.
Your future missions
Build and ship Skaleet’s AI products end to end, from early prototypes to production deployment. Own the technical architecture of our agentic platform and continuously improve it by integrating the latest advances in foundation models, agent frameworks and AI engineering.
Design reliable agentic workflows combining LLMs, tools, banking data and human oversight. Define how agents reason, retrieve context, call tools, handle failures and collaborate to complete complex banking operations.
Own AI quality, observability and evaluation, using traces, user feedback, annotated datasets, LLM-as-judge evaluation, calibration against human labels and regression gates to ensure agent behaviour remains reliable as models and prompts evolve.
Build the integration layer between agents and Skaleet’s platform, including MCP servers and APIs, with production-grade authentication, permission management, error handling, retries, idempotency and structured outputs.
Develop the context and retrieval systems powering our agents, including embeddings, vector search, hybrid retrieval, reranking and knowledge ingestion over Skaleet’s product documentation and clients’ business processes.
Work closely with data engineers to make banking data usable by AI systems, defining the data models, pipelines and interfaces agents need to access clean, accurate and tenant-isolated operational data.
Implement the security, compliance and operational safeguards required for banking use cases, including human validation gates, permission scoping, tenant isolation, audit trails, explainability and safe failure modes.
Prototype quickly and iterate with banking operators, identifying high-value use cases, putting early versions in users’ hands and improving the product based on real operational feedback.
Evaluate and integrate the best available AI models and technologies based on quality, latency, cost, security and regulatory constraints. This role focuses on building systems on top of existing foundation models rather than training models from scratch.
[Desired Profile]
You are a great match if :
Education : Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Engineering, or equivalent hands-on experience.
Experience : minimum of 5 years of experience, including significant hands-on experience building LLM-based agent systems in production. Prior experience in fintech or banking is a plus, not a prerequisite.
Technical : strong Python backend skills (REST APIs, async, testing); concrete experience with tool calling, RAG, agent context/memory management, and LLM quality evaluation; Comfortable designing and integrating complex, data-intensive production systems.
Production maturity : experience monitoring and optimizing LLM systems in production — observability/tracing, cost and latency control at scale.
Security & safety : working knowledge of guardrails and defenses.
Languages : Fluency in French and English, both written and spoken.
Interpersonal Skills : Strong ability to collaborate with diverse teams, an excellent team player; product sensitivity — able to push back on a functional spec when it's technically unrealistic, without waiting to be asked. You are also proactive and able to work independently.
You thrive on challenges, have an entrepreneurial mindset, and enjoy the energy of scale-ups.
Bonus Points : experience in a regulated environment (banking, insurance, healthcare) where audit trail and human control are hard constraints.
About your future manager
Nicolas DELFOUR
With over 10 years of experience in backend development and engineering leadership, Nicolas has built a strong track record leading technical teams and delivering scalable, high-impact solutions.
Before joining Skaleet, he was Head of Engineering at D-EDGE, where he led multiple teams, aligned technical roadmaps with business objectives, and drove large-scale projects including cloud migrations and performance optimization.
As VP Engineering, Nicolas is responsible for ensuring delivery excellence and platform reliability, while shaping the long-term technical vision of Skaleet. He also plays a key role in scaling the engineering organization and fostering a strong culture of technical excellence aligned with our product and business ambitions.
The benefits of joining Skaleet
Remote 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 workdays
An entrepreneurial mindset and strong team spirit
Beautiful, brand-new offices located in Boulogne-Billancourt, right next to Metro Line 10.
[Recruitment Process]
A first video call with Juliette 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 with Tanguy, Nicolas and Khadija 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 !
