Required skills
- AI Engineering
- LLM Agents
- Production Deployment
- Python
- LangGraph
- RAG Chains
- Orchestration
- State Management
- Observability
- Evaluation
Languages: French
Job description
AI-native tech consulting firm Ever"T is seeking an AI Engineer to join a structured AI team within a high-volume French tech company. The role involves designing and deploying LLM agents for business teams, focusing on production-ready solutions.
Project overview
Ever"T — AI-native, innovative, and hyper-growth tech consulting firm — is looking for an AI Engineer to strengthen an already structured AI team, within a high-volume French tech player.
The Context
You will join a team of 12 AI Engineers, with a clear model: each engineer is embedded directly into a business team, in contact with the business. No isolated labs, no sleeping POCs — what is built goes into production and serves real users.
The team is young, the foundations are laid, but the entire playground remains to be written: agent patterns, evaluation, industrialization, team standards. This is a rare moment to influence how things are done.
The Project
Design and deploy an LLM agent for a business team (creative/marketing or customer relations universe depending on the scope chosen): framing the need with stakeholders, designing the orchestration, deployment, evaluation, and continuous iteration.
Responsibilities
- Design multi-step LLM agents (orchestration, tools, state management) with LangGraph
- Build and stabilize RAG chains: retrieval, response quality, evaluation
- Continuously arbitrate quality / cost / latency / complexity trade-offs
- Industrialize: observability, evaluation sets, non-regression, production monitoring
- Exchange directly with business teams: frame a vague need, simplify, challenge, measure delivered value
Project details
- Start: flexible
- Remote: hybrid
- Location: Paris, France, FR
- Languages: French
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