AI Product Engineer

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. You’ll 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: you'll build traveler‑facing AI products that move metricson 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.

The Innovation Department

Withinthe 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.

You’ll join Pathfinder. It’s a small, focused team:

• Lou Anfriani Anfriani (Product Designer),

The team reports to Romain Quillot (Head of Innovation), who leads strategy, operations, and execution. By design, the team member owns it’s 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

• 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