Senior AI Engineer - du POC à la production (Python - LangGraph - RAG - Azure) - Freelance (H/F)

France | Nov. 5, 2026

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Company: Collective.work

Country: France

Type: Onsite

Employment: Full-time

Description: Ever"T - AI-native, innovative and hyper-growth tech consulting company - is looking for a freelance Senior AI Engineer. The Project You are joining the Data Science team of a large international group, attached to the AI and Data Science department, with a global scope. The team supports the group's generative and agentic AI strategy, and it is looking for an Engineer capable of managing the entire chain: from framing with the businesses to implementation in production and in run. The first consists of internalizing AI solutions already built by external partners: integrating them into the group's Azure environment, taking over the developments, making the deployment more reliable and supporting the run. The second consists of framing and prototyping new use cases: identifying the need, verifying the feasibility, building a POC, evaluating it, then industrializing it. Examples of current or future subjects: * Automated processing. of customer reviews, with automatic response and escalation to support *    Emailing content creation assistant, to be enriched with translation and multi-country localization *    CRM agent capable of recommending a customer communication strategy (content, channel, timing) based on campaign history, with a feedback loop What you will do Framing and prioritization *    Lead workshops with business and product teams to qualify high-impact use cases *    Evaluate the value, the feasibility, data quality and risks (security, compliance, ethics) *    Define KPIs, acceptance criteria and a realistic roadmap Design, prototyping and evaluation *    Design suitable architectures: RAG, semantic search, agents and multi-agents, fine-tuning when relevant *    Develop clean and documented POCs in Python *    Set up experiments to measure quality, robustness, bias, costs and latency *    Define application safeguards against the risks specific to LLMIndustrialization and LLMOps *    Transform validated prototypes into components tested, versioned and usable in production *    Work with the Data Engineering and MLOps teams on CI/CD, containerization, orchestration and observability *    Set up monitoring and alerting: quality of responses, drift, latency, costs *    Document technical choices, runbooks and operating procedures Collaboration and transfer *    Participate in code reviews, demos and team rituals *    Organize knowledge transfer to make internal teams autonomous *    Proactively raise risks, dependencies and opportunities Why Ever"T? With us, you join an AI-native community that is based on three founding pillars: Humility. Progress. Commitment.You benefit from strong support (your Community Builder, your Project facilitator), access to continuing training, regular events (T"Time, T"Coached, T"Cast) and the Diversified Employee program to develop your personal or business projects in parallel. www.ever-t.fr (http://www.ever-t.fr) *    You have solid experience in the development and deployment of AI/ML solutions in an industrial, product or consulting context, with projects carried out from end to end, up to production *    You master Python and at least one ML framework among scikit-learn, PyTorch or TensorFlow *.   You have practical experience with LLM: LangChain / LangGraph, prompt engineering, embeddings, RAG, agents, evaluation, fine-tuning *    You are comfortable with SQL, vector bases, ETL/ELT pipelines and an orchestrator like Airflow or Prefect *    You have a DevOps / MLOps / LLMOps culture.

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