Software Engineer (GenAI / MLOps & ModelOps) - AI-Share Team

Founded in Lyon, France, in 2015, DataGalaxy has become the leading data catalog in France, connecting data, people, and AI through an intuitive data governance platform. Our mission is to simplify metadata mapping, management, and knowledge sharing to enhance organizational data governance and data literacy.

With more than 200 clients worldwide and rapidly growing, we are making significant strides in the US market, with the ambition to become a top 3 player in the data catalog space . Our teams span across two continents, fostering a dynamic international spirit that drives our innovation and growth.

Our mission: To lead the revolution in modern business data catalogs by empowering data professionals and business users through AI-driven data governance. As we expand rapidly in the US, we aim to set the standard for data and AI solutions, positioning ourselves as a trusted partner for navigating the complexities of a data-centric world across industries. Our vision is to drive impactful change and growth, particularly in the US market, as we shape the future of data governance on a global scale.
Our values: Be intentional. Be clear. Be bold. Be humble.

About the role

Join the AI-Share team to help build and operate the foundations that power our Generative AI features (LLM, RAG, agents) inside the DataGalaxy data governance platform. This role focuses on MLOps / ModelOps delivery: making GenAI capabilities reliable in production (deployment, monitoring, cost control, traceability), while collaborating with product engineering teams across a polyglot stack.

You don’t need to match every item below - we value curiosity, eagerness to learn, pragmatism, and steady progress!

What you’ll do (with support from senior engineers)

MLOps / ModelOps (core)

• Contribute to the evolution of our ModelOps platform for GenAI: provider integrations, configuration, deployment automation, and operational tooling.
• Help implement practical patterns for running GenAI workloads in production: evaluation , versioning , reproducibility , safe rollouts/rollbacks, and environment management.
• Build and improve CI/CD workflows adapted to AI: packaging, automated checks, evaluation steps (when applicable), deployment, and rollback.
• Improve traceability of AI assets (configs, prompts/templates when applicable, evaluation outputs, versions) to support governance and debugging.
• Add and maintain observability for GenAI workloads: latency, availability, usage/cost signals, and quality-related indicators (dashboards/alerts).

GenAI feature development & platform integration (core)

• Develop and improve GenAI features within the platform (agent, RAG pipelines, MCP server): new capabilities, prompt engineering, bug fixes, and client-facing improvements.
• Work closely with Product / Data / Engineering to integrate GenAI capabilities into the platform in a maintainable way.
• Participate in code reviews, documentation, and post-incident follow-ups (RCA / action items), with guidance from the team.

Tech environment (high level)

• Python for MLOps tooling, evaluation, automation, and integrations
• Cloud services and managed GenAI providers (e.g., Azure AI Foundry, AWS Bedrock, GCP Vertex)
• CI/CD , containers (Docker), observability tooling
• A polyglot product stack (e.g., backend services and front-end surfaces owned by other squads)

Requirements

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.

Benefits

• 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.