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LumApps is now more than just an Employee Experience Platform — it is an AI-powered Employee Hub that supports companies in their digital transformation of communication, collaboration, and engagement with their customers, partners, and above all their employees. Our platform is a proven leader in this dynamic market with a truly unique vision and product. It has been deployed by Fortune 500 clients around the world and is delivering meaningful business benefits. LumApps is identified as a leader in Gartner's Magic Quadrant for Intranet Packaged Solutions as well as in Intranets Forrester Wave, and regularly selected for the French Tech Next40/120 program.
Job Responsibility
Define and own the technical vision for the AI Agents tribe across the stack
Drive major architectural decisions — from agent communication protocols (MCP, A2A, AG-UI) and streaming patterns to data modeling, service boundaries, and state management — while tracking implications on adjacent systems and teams
Independently scope and implement complex end-to-end solutions, from API and data layer through to the user-facing experience
Identify and proactively tackle technical debt
Plan and execute projects that span multiple teams within the tribe
Partner with product and engineering leadership to translate roadmap goals into concrete technical strategies, providing reliable project estimates and owning delivery accountability
Define canonical patterns and lead-by-example on testing, performance, observability, and security
Conduct rigorous code reviews and challenge both specifications and implementations when needed
Mentor Software Engineers, providing actionable feedback on strategy, impact, execution, and technical depth
Share knowledge through engineering articles, internal presentations
Requirements
6+ years of professional software engineering experience, with deep expertise in Python for backend services and solid command of TypeScript and React (v17+) on the frontend
Strong opinions on API design, service boundaries, component design, performance optimization, and maintainability at scale in a large monorepo
Comfortable building production microservices following Clean Architecture / SOLID principles — designing clear domain layers, working with relational databases (PostgreSQL, SQLAlchemy), event-driven patterns (Pub/Sub), and REST/OpenAPI contracts
Shipped and operated services in the cloud (GCP and/or Azure)
Hands-on experience or strong curiosity with agent interoperability protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A), agent-to-UI streaming via the AG-UI protocol (SSE, WebSockets), and integrating with LLM providers such as Google Gemini and Mistral running on Vertex AI, using agentic frameworks like Google ADK or Strands Agents
Can design systems end-to-end
Thinks about functional correctness, technical scalability, and security implications simultaneously
Has contributed to or led significant architectural decisions in a production codebase
Proficient with backend unit/component/integration testing (pytest and equivalents) as well as frontend tooling (Jest, React Testing Library, Storybook, Playwright)
Speaks English fluently
Able to give direct, constructive feedback, share knowledge proactively, and care about building a team culture grounded in psychological safety and technical excellence
Designs with authentication, authorization, and tenant isolation in mind
Builds services to be observable and resilient from the start
What we offer
Hybrid work model – 2 days at the office, 3 days remote
RTT days – ~10 extra days off per year
Meal vouchers (SWILE) + free snacks & coffee
Yoga classes in Paris office
Supportive parental leave and family moments
Health insurance (ALAN) – 60% covered + full life & disability cover
Afterworks, team celebrations & seasonal parties
Equipment of your choice
French & English lessons, professional development & access to Leeto CSE