AI Product Engineer

Better Trips for travelers. Better Trips for the World

Since Evaneos was founded in 2009, we’ve been building a greener, fairer future for travel. By connecting travelers with the world’s best local experts, we provide trips that are better for them and better for the places they visit. For us, it’s all about quality and impact. That means fighting mass tourism and impersonal experiences at the expense of local communities and the environment. Instead, we offer tailor‑made trips, lovingly crafted by those passionate about sharing and protecting the destinations they call home.

Thanks to our network of more than 600 local agencies in more than 160 destinations, we’ve helped more than 800,000 travelers plan extraordinary trips worldwide. The adventure doesn’t stop here. We invest a percentage of every trip we sell in our Better Trips Fund and have committed to spend at least 3 million € by 2025 on projects that reduce the negative impacts of travel and drive positive change within our industry. Think: creating new opportunities for woman‑owned businesses, guiding small businesses through sustainability training and certification, and much more.

Our values are just as important within Evaneos. Our strength is in our diversity, made up of a multitude of languages, backgrounds, and experiences. We believe in building the best teams by creating an environment where everyone can be authentic, trust each other, and thrive.

We hope you’ll join us on our mission!

You can also follow our Glassdoor page and see the comments of our current employees and candidates.

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 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.

The innovation Department

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.

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
• 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.

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.

What's in it for you?

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 : €67–75K gross annual, based on experience.

What we're looking for

You may be a great fit for this position if:

• You have at least 5 years of software development experience and are comfortable with APIs and data stores.
• You’ve built and deployed AI agents in production with real users: not just PoCs or hackathon projects.
• You’ve set up or contributed to LLM evaluation pipelines (offline benchmarks and/or online metrics) and have designed guardrails .
• You have hands‑on experience with observability for LLM systems : tracing, monitoring, diagnosing regressions from traces (Langfuse, LangSmith, or equivalent).

Mindset & ways of working

• Curious and passionate about AI : you keep up with the state of the art, test things to understand them, and apply what you learn to what you build.
• Full‑stack at heart : in a small team, you’re happy to touch front, back, and infra. No "That’s not my job."
• Strong ownership : you spot problems, propose solutions, and move forward while keeping everyone in the loop. You finish what you start.
• Product appetite : you want to understand users, conversion, and the business. Engineering is a means to an end: crafting meaningful experiences and solving real customer problems.
• Team player : You like pairing, sharing knowledge, communicating clearly, and pulling in the same direction.
• Fluent in professional English.

You’ll thrive here if

• You want to build and ship AI products to real users, not do pure ML research.
• You care about the product outcome, not just the technical pipeline.
• You’re comfortable working daily alongside product, design, and business stakeholders.

We are committed to creating an environment where everyone feels respected and included. We strive to provide equal employment opportunities, regardless of gender, sexual orientation, background, disability, or any other characteristic that makes you who you are. Our goal is simple: to ensure that everyone can thrive, feel safe, and be treated with respect.