AI Engineer HF

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

Context

Skaleet 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 youll join the AI Team and report directly to Thomas LINCK VP Plateform. Youll build and own Skaleets 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.

Youll ship AI into production banking environments where mostly right isnt an acceptable bar.

Your future missions

Architecture & delivery

• Build and ship Skaleets 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

Agents & reliability

• 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 calibration against human labels and regression gates

Integration & data

• Build the integration layer between agents and Skaleets platform: MCP servers and APIs production-grade authentication permission management error handling retries idempotency and structured outputs

• Develop the context and retrieval systems powering our agents: embeddings vector search hybrid retrieval reranking and knowledge ingestion over Skaleets product documentation and clients business processes

• Work closely with data engineers to make banking data usable by AI systems: data models pipelines interfaces tenant isolation

Security & compliance

• Implement the safeguards required for banking use cases: human validation gates permission scoping tenant isolation audit trails explainability safe failure modes

Product & iteration

• Prototype quickly iterate with banking operators identify high-value use cases and improve 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 is about building systems on top of existing foundation models not training models from scratch.

Desired Profile

You are a great match if :

Must-have

• Minimum 5 years of software engineering experience including significant hands-on experience building LLM-based agent systems in production

• Strong Python backend skills: REST APIs async automated testing

• Concrete experience with tool calling RAG agent context/memory management and LLM quality evaluation

• Comfortable designing and integrating complex data-intensive production systems

• Experience monitoring and optimizing LLM systems in production: observability tracing cost and latency control at scale

• Working knowledge of guardrails and defenses against prompt injection

• Fluency in French and English both written and spoken

• Masters degree in Computer Science Machine Learning AI Engineering or equivalent hands-on experience.

Bonus points

• Strong team player with product sensitivity you can push back on a spec thats technically unrealistic without waiting to be asked

• Proactive autonomous entrepreneurial mindset thrives on scale-up energy

• Experience 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 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 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 Skaleets AI product vision the projects 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 !