Senior AI Solutions Engineer
At FDJ UNITED, we don’t just follow the game, we reinvent it. We are one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, we offer a diversified, responsible range of games that prove entertainment and safety can go hand in hand.
In this senior individual‑contributor role, you will own end‑to‑end delivery of complex GenAI use cases on the KAIT platform, remaining deeply hands‑on while shaping solution design, evaluation strategy, and operational readiness.
What you will do
- Own the full lifecycle of GenAI solutions: discovery, technical design, implementation, evaluation, release, and ongoing operation in production.
- Design and build robust LLM‑backed services and agentic workflows with explicit tool contracts, safe execution boundaries, retries, and failure handling.
- Lead RAG design for your use cases, including ingestion approach, retrieval tuning, reranking, and systematic evaluation of retrieval and response quality.
- Own production hardening for high‑trust capabilities such as Text‑to‑SQL, including schema grounding, golden question sets, safe query enforcement, timeouts, and auditable traces.
- Define and maintain evaluation and release gates, including regression suites and safety checks to prevent silent degradation.
- Ensure strong observability and operability through tracing, metrics, logs, dashboards, alerts, and clear runbooks.
- Drive cost and performance optimisation through model selection, routing, prompt/version control, caching strategies, and token budgets.
- Collaborate closely with Platform Engineering, Data Engineering, and Security to deploy solutions on Kubernetes using approved Helm and Terraform patterns.
- Mentor AI Solutions Engineers through code reviews, design discussions, and pairing on complex problems.
- Communicate technical trade‑offs clearly to product and business stakeholders.
- Operate in line with FDJ UNITED values and applicable governance, risk, and compliance obligations.
Qualifications
- Strong track record shipping and operating LLM‑powered applications in production environments.
- Advanced Python and backend engineering skills.
- Deep practical experience with RAG systems, including vector search, retrieval tuning, and evaluation.
- Strong SQL and analytics fundamentals, including safe access patterns to analytical databases.
- Experience working in cloud‑native environments (Docker, Kubernetes) and collaborating with platform/security teams.
- Demonstrated LLMOps discipline: evaluation, monitoring, release gates, and incident follow‑up.
- Strong security instincts for GenAI systems, including prompt injection risks and data leakage prevention.
- Ability to lead without formal authority and influence stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such as age, gender, origin, religion, sexual orientation, neurodiversity, or disability. We will only apply these criteria in accordance with applicable local laws.
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