Software Engineer Genai - MLOps & Modelops - Ai-Share Team H/F DataGalaxy

- Offices in the heart of Lyon (Part Dieu) and Paris (2ème arr.)
- Flexible working hours ("forfait jour")
- Remote work at will & 2.70€ net per day worked from home
- 2 weeks of working from anywhere
- Health insurance Apicil covering you and your family
- Meal vouchers (Swile card of 9€/day)
- Public transport 50% reimbursement, 100% reimbursement for your bike subscription
- Holiday Bonus
- Quarterly team events and seminars
- An attractive remuneration according to your performance and your potential
- A real opportunity to join a French start-up that is a pioneer in its market

At DataGalaxy, we believe diversity is a strength that fuels our mission. DataGalaxy is committed to ensuring everyone feels included, valued, and empowered at work. As an equal opportunity employer, we welcome all qualified applicants regardless of age, color, family or marital status, gender identity, national or social origin, physical or mental disability, or sexual orientation or any other characteristic protected by applicable laws.

Must-have

- Professional experience delivering production software in Python (services, tooling, automation): comfortable reasoning about service design, maintainability, and code quality.
- Familiarity with CI/CD and shipping changes to production (pipelines, environments, rollbacks, release hygiene).
- Comfortable with cloud/production constraints: reading logs/metrics, debugging issues, improving reliability over time.
- Interest in MLOps / GenAI operations (deploying providers/models, evaluating changes, managing latency/cost trade-offs).
- Comfortable working in a polyglot environment: you can read/understand code and interfaces beyond Python, and you have experience with at least one other language (e.g., C#, TypeScript, Java/Kotlin, Go).

Nice-to-have (big plus)

- Comfortable working with AI-assisted development tools (e.g. coding agents, copilots) as part of your daily workflow, and open to evolving your practices as these tools mature.
- Hands-on exposure to LLM/RAG/agents in real projects (prompt/version management, evaluation approaches, basic safety/guardrails).
- Familiarity with managed GenAI platforms (Azure AI Foundry / Bedrock / Vertex) or similar services.
- Exposure to self-hosted inference servers (e.g. vLLM) and/or multi-model routing solutions (e.g. LiteLLM) and understanding architecture trade-offs with managed providers and for potential on-premises deployments.
- Experience with containers and orchestration (Docker, Kubernetes), plus service-to-service patterns.
- Infrastructure-as-code experience (Terraform or equivalent).
- Observability experience (OpenTelemetry, dashboards/alerting) and cost monitoring.
- Familiarity with Python API frameworks (e.g. FastAPI) and software design principles (SOLID, modular architecture, dependency injection).
- Prior exposure to parts of our broader stack (e.g., .NET, Angular) is welcome but not required.

DataGalaxy is a leading data and AI product governance platform that helps organizations connect strategy, product management, data discovery, and business impact in a single, collaborative experience. Our platform empowers cross-functional teams to design, deliver, and scale trusted data & AI products that drive measurable business value.

At DataGalaxy, we live by our values: Be Intentional - clear, bold, and humble. We're looking for motivated, creative minds who share this mindset. Join a team that's enthusiastic, welcoming, and full of energy - where it's easy to belong and make an impact!