AI Engineer (AI & GenAI) - Finance Domain
Job description
An AI Engineer role in the Finance Data team at Decathlon Digital, building and industrialising generative and agentic AI solutions for finance controllers.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · Lille, France · Paris, France
- Languages
- French – fluent, English – professional
What you'll do
- Extend agent capabilities toward write actions by implementing tool-calling protocols (MCP) and inter-agent communications (A2A).
- Optimise system cost, latency and overall efficiency together with Platform and Infrastructure teams.
- Develop and maintain the quality layer of the pipelines (Databricks / Vertex AI Search / Discovery Engine).
- Ensure grounding of answers and citation verification for traceability to a source of truth.
- Set up robust observability pipelines for online and offline evaluation (OpenTelemetry, MLflow, Langfuse).
- Code automatic evaluators to iterate safely and prevent regressions before each production release.
- Integrate guardrails to protect the system and users against hallucinations and errors.
- Implement metadata filtering in the vector database and isolation of indexes/models to keep data separate between legal entities and geographies.
- Contribute to the internationalisation architecture by adapting pipelines, embedding and inference for many languages.
- Help analyse user intents to measure product impact.
- Translate business challenges into model behaviours and success metrics with the Product Manager.
What we're looking for
- Several years of professional experience (excluding internships and apprenticeships) in AI Engineering, ML Engineering or AI-oriented Software Engineering.
- At least one concrete, successful experience putting a GenAI or agentic system into production.
- Strong command of Python, the GCP / Vertex AI + Databricks ecosystem, and orchestration frameworks (LangChain, LlamaIndex or Google ADK).
- Strong command of RAG architectures (vector search, Vertex AI Vector Search, advanced metadata management).
- Mastery of agentic technical concepts: function/tool-calling, reasoning loops (ReAct), multi-agent workflow orchestration, structured output and context/memory management.
- Ability to diagnose an incorrect answer (model, retrieval or data issue) and appetite for application observability (SQL / MLflow).
- Fluent French is mandatory and professional working English (international environment).
Nice to have
- In-depth technical knowledge of A2A (Agent-to-Agent) and MCP protocols.
- Technical understanding of security concerns (RBAC, ACLs, GDPR) applied to LLMs.
- Knowledge of microservices architectures and API design.
Your team
Finance Data
Team within Decathlon Digital transforming finance through generative and agentic AI, working with AI Engineers and a Product Manager.
Benefits
A delivery culture focused on autonomy, collective intelligence and skill development (Lead support, certifications, training).
- Work on a cutting-edge agentic AI product with direct impact on employees' daily work.
- A premium technology environment (Google Cloud / Vertex AI / Databricks stack).
- Flexible remote work policy: 2 days per week remote, the rest in the offices.
- Attractive benefits (monthly/quarterly bonuses, employee share ownership).
Apply
Direct apply at Decathlontechnology
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About Decathlon Digital
Let's change the game for good.
A team of more than 5,000 experts in software engineering, product management, data, cloud and cybersecurity, based in Paris, Lille and Amsterdam.
Mission
Create the largest digital sports platform by leveraging technological innovation to optimise the value chain, design connected experiences and give products a second life.
Key facts
- plus de 5 000 experts
- Paris, Lille and Amsterdam
- The AI performance debriefs are already deployed in France, Spain, Italy and Belgium.
- The team works with a premium Google Cloud / Vertex AI / Databricks stack.
What they value
- Passion for sport guides the company and it wants that passion to last.
- Commitment to building a more sustainable technology model and a safe, inclusive space.