AI Engineer

Join Mendo, the AI Transformation Platform for enterprise clients. As an AI Engineer, you'll train and evaluate proprietary language models, maintain AI features in production, brainstorm and prototype with product squads, and raise the bar on your scope. You'll work in a hybrid model from our Paris office and have a competitive compensation package.

• Former AI Engineer at Mendo, responsible for training and evaluating proprietary language models, maintaining AI features in production, and collaborating with product managers and engineers on new AI use cases.

Experience & expertise

• 3–5 years in ML / AI engineering, with models or AI features you shipped and then operated in production.

• Hands-on with LLM fine-tuning, RAG, and embeddings — and with evaluating them (golden sets, LLM-as-judge, regression tests).

• Experience monitoring and optimising AI systems in production for cost, latency, and quality.

• Solid software engineering fundamentals — tests, CI, observability — you operate what you ship.

• Comfortable in Python and able to work across a TypeScript product codebase.

• **Experience with small language models (SLMs) and on-device / on-prem model deployment is a strong plus.**

Ways of working

• Execution-first: you would rather ship a measured improvement than pitch an ambitious redesign.

• Pragmatic and product-minded — user impact over technical novelty.

• Autonomous on your scope, and clear about when to escalate an architecture or cost decision.

• **Excellent command of French and English**, both technical and professional.

Mindset

• Natural rigor and a feel for evaluation-driven development.

• Genuine curiosity for a fast-moving AI landscape — without chasing hype.

• Strong team spirit and a sense of priorities in a fast-moving scale-up.

• Alignment with our values: **Learning, Innovation, Excellence, Kindness, Transparency**.

📈 What we offer

• **Competitive package**: €56,000–€65,000 gross annual package (base + 8% target variable) depending on step, plus BSPCE (equity) under our Series A policy.

• **Real impact**: the models you train and the features you maintain run for 100+ enterprise clients.

• **Real AI, not slides**: proprietary on-device models, production RAG, and a codebase where AI is already shipped — you'll work on it, not argue for it.

• **A learning environment**: a team passionate about new technologies and generative AI.

• **A stimulating workplace**: a young, supportive culture where everyone helps each other.

• **Flexibility**: a hybrid 2-day/3-day remote model.

• **Meaningful mission**: helping make AI accessible and impactful for everyone.