AI Engineer — Production GenAI, Equity & Hybrid Work

Mendo; Paris; Hybride; EUR 56 000 - 65 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Equity BSPCE

Learning environment

Impactful work

Résumé du poste

Mendo is the AI Transformation Platform helping enterprises adopt generative AI inside familiar tools like Microsoft 365 Copilot, ChatGPT, and internal agents. We hire an autonomous ML/AI engineer to train, evaluate, and production‑grade our on‑device models, with a focus on cost, latency, and quality.

You will work alongside the CTO and engineering squads to own the AI workstream for a product area, shipping features end‑to‑end and mentoring junior engineers as needed.

Qualifications

• 3–5 years in ML/AI engineering.
• Hands-on with LLM fine-tuning, RAG, and embeddings.
• Experience monitoring AI systems in production for cost, latency, and quality.
• Solid software engineering fundamentals — tests, CI, observability.
• Comfortable in Python and able to work across a TypeScript product codebase.
• Experience with on-device deployment of small language models is a plus.

Responsabilités

• Train and evaluate models and maintain AI features in production.
• Curate datasets and evaluation harnesses used for model assessment.
• Ship model updates and measure impact rather than stopping at notebooks.
• Collaborate with product managers and engineers on new AI use cases.
• Explain AI trade-offs to non-technical colleagues and document work.

Connaissances

ML/AI engineering

Model deployment

Cost & latency optimization

Python

TypeScript familiarity

English & French proficiency

Outils

HuggingFace Transformers

TensorFlow

scikit-learn

LLM fine-tuning

RAG

Description du poste

Mendo is the AI Transformation Platform helping enterprises adopt generative AI inside familiar tools like Microsoft 365 Copilot, ChatGPT, and internal agents. We hire an autonomous ML/AI engineer to train, evaluate, and production‑grade our on‑device models, with a focus on cost, latency, and quality.

You will work alongside the CTO and engineering squads to own the AI workstream for a product area, shipping features end‑to‑end and mentoring junior engineers as needed.