Full-stack Engineer (AI)

At Evaneos our mission is simple: to help travelers experience trips that are more local more responsible and more human all around the world.

Within the Innovation Department the Pathfinder team is reinventing how travelers design their tailor-made trips with AI as the central lever of the experience.

We are hiring an AI Product Engineer to ship AI-native travel experiences used by real travelers in production. Youll design build and operate AI products powered by agentic architectures working end-to-end from problem framing to live monitoring always in service of real user and business needs.

Your impact: youll build traveler-facing AI products that move metrics on conversion experience and cost. Two are already live and serving traffic: an AI trip designer that helps travelers explore and customize itineraries and a conversational experience that turns their intent into a structured travel project local agencies can act on. Real products not internal tools.

Within the Innovation Department AI runs on two complementary fronts:

• Pathfinder: we design and build AI-native products to unlock new growth opportunities and keep Evaneos at the forefront of its market.

• AI Company: we solve real team problems to improve internal efficiency accelerate execution and build a practical AI-native culture.

Youll join Pathfinder.

Its a small focused team:

• Clément Stouls (Product Manager)

• Lou Anfriani (Product Designer)

• Jocelyne Boun (AI Product Engineer) & Timothé Hofmann (Full stack Engineer)

• You (Full stack Engineer).

The team reports to Romain Quilliot (Head of Innovation) who leads strategy operations and execution. By design the team member owns its direction and proposes initiatives with direct exposure to C-level leadership on product and business strategy.

Our stack at a glance:

Languages: Python TypeScript

AI/LLM: LiteLLM Gateway Langfuse Langsmith multi-provider (Anthropic OpenAI Gemini Mistral) Langchain DeepAgents Claude Agent SDK

Frontend: CopilotKit React

Infra: Docker Kubernetes CI/CD (GitHub Actions)

Data: PostgreSQL MongoDB vector databases

Dev workflow: Claude Code Cursor Codex In house tooling

Build AI-native products (AI agents)

• Design agent architectures: runtime tool systems orchestration patterns middleware state management RAG. Choose the right pattern for the right problem!

• Own context engineering: shape what the models see and find ways to better steer the model and system raising quality while controlling cost.

• Make quality measurable: build evaluation pipelines (offline benchmarks plus online metrics) and observability to catch hallucinations drift and regressions before users do.

• Own the economic viability: once something is live find the right balance of quality speed and cost.

• Keep it running: debug production issues on non-deterministic systems handle model migrations when providers change their APIs and deal with structured output failures and tool call errors.

• Own the infra: You build it you ship it. Keep the dev environment fast and the deployment pipeline reliable.

• Own problems end-to-end: from framing to resolution in collaboration with product design and business stakeholders.

Be a bridge between tech and product

• Take an active part in product direction grounded in real user and business stakes.

• Translate technical constraints into product options and explain the paradigm shifts AI brings.

• Proactively communicate on progress decisions and blockers: position yourself as an enabler for the team.

Grow our internal AI community

• Co-lead the AI Champions Tech program leveling up Product & Tech across Evaneos on AI practices and knowledge.

• Share your learnings with the Innovation team and wider tech community.

• Run workshops and talks that demystify what matters in the agentic era.

You build the product not the platform. Focus on shipping AI experiences directly to travelers: real users real conversion real business impact.

Full ownership in a team that fits in one room. No ticket queues no handoffs between ML and product teams. You frame problems with the PM design solutions with the designer build and ship them yourself then watch the traces to know if it works. The loop is tight and you own all of it.

AI at the core of a 15-year-old profitable marketplace. This isnt a startup burning cash on an AI bet. Its an established travel company with real revenue real users across 160 destinations in over 5 markets and a strategic conviction that AI will reshape its core experience. Startup autonomy with business-model gravity.

• La Voyagerie: our lively HQ in the 9th arrondissement of Paris

• Based in Paris Up to 3 days of remote work per week.

• Fully remote Up to 2 consecutive days on-site per month when the whole team comes together in Paris.

• Travel budget through the CSE to experience Evaneos trips.

• Remote work from abroad several times a year.

• 25 paid leave days 14 RTT days.

• Choice of PC or MacBook Pro.

• Wellpass (yoga meditation sports partially covered).

• Cultural lunches seminars afterworks and regular team moments.

Salary: 6775K gross annual based on experience.