Software Engineer – GenAI, MLOps, ModelOps

Role Overview

• 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.
• 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).
• 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.

Requirements

• 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).

Tech Stack

• Cloud
• Java
• Kotlin
• Python
• TypeScript
• Go

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 🚀