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# Full-stack Engineer (Agentic AI)

- **Company:** Evaneos
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Salary:** €75,000 - €84,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Stores, Software Debugging, Middleware, Machine Learning, Software Engineering, Evaluation Pipelines, Retrieval-Augmented Generation, Large Language Models, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, Evaluation of Large Language Models
- **Published:** October 29, 2026
- **Apply:** https://www.welcometothejungle.com/fr/companies/evaneos/jobs/software-engineer-applied-ai_paris

## About the Role

️ Technical skills

 * 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.

## Description

* 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.