AI Engineer

Job Description

AI Engineer (LLM & RAG) (F/M/D)

Company:

Fime enables its clients to create and launch trusted and secure solutions with consulting and testing services in payments, smart mobility, biometrics, and authentication. With 900+ experts around the world in over 20 locations, Fime is a multi-cultural global leading player its industry.

Inspired by our talented people, we are empowered to take ownership and innovate for the benefit of our clients. Employee growth is therefore our priority, and we demonstrate the appreciation of our people by providing them with opportunities to grow and new challenges both through internal promotion and international mobility.

At Fime, we are constantly evolving and moving forward together thanks to our values:

• Enable our customers.
• Support each other.
• Keep getting better.

Your skills and your differences will be our greatest assets. Join Fime and make a difference!

Making innovation possible.

Making the world work.

Mission:

Youll own the full AI lifecycle for languagemodelpowered featuresfrom problem framing and data exploration to validated prototype and monitored production service. We provide:

• Access to shared GPU resources onprem, for experimentation and finetuning.
• Continuous learning via LinkedIn Learning and regular internal knowledgesharing sessions.
• A chance to touch every layer of the stackretrievalaugmented generation (RAG) pipelines, LangChain/LangGraph agents, CI/CD, observabilityand to mentor teammates as you grow.

ACTIVITIES

• Shape problems into AI goals with product and domain experts (payments & testing).
• Prototype quickly in small, testable steps; demo value every sprint and communicate tradeoffs in plain language.
• Build RAG pipelines with LangChain or LangGraph, explore emerging frameworks such as Model Context Protocol (MCP), and integrate vector stores (FAISS, Pinecone, etc.).
• Finetune or adapt foundation models (LoRA / PEFT) and track quality vs. cost.
• Package services with FastAPI + Docker (Kubernetes optional) and deploy on GPU fleets (onprem or cloud).
• Add CI/CD, monitoring, and drift alerts to keep models healthy in production.
• Mentor peers in promptengineering and lifecycle best practices as your expertise deepens.

JOB EXPERIENCE

• 3 + years Python software engineering and at least one shipped ML product.
• Handson with LLM APIs or Hugging Face Transformers and basic promptengineering.
• Containerised deployment with Docker and cloud (AWS/GCP/Azure or onprem clusters)
• Familiarity with Git workflows and automated testing

KNOWLEDGE & SKILLS

• Completed degree in an AI related field
• LangGraph, Model Context Protocol, or Ollama.
• Techniques for GPU efficiency (e.g., quantisation, batching).
• Familiarity with experimenttracking platforms.
• Domain interest in payments or softwaretesting workflows.

Contract: Permanent, full time

Starting at the latest: ASAP

Location: Caen, France