Required skills
- Python
- SQL
- LangGraph
- OpenAI Agents SDK
- Claude Agent SDK
- Google ADK
- MCP
- A2A
- Tool Calling
- AWS
- CI/CD
- LLMOps / MLOps
Languages: French
Job description
Seeking a Senior AI Engineer to design, productionize, and scale AI agents for operational teams. This is a long-term mission starting ASAP in Ile de France.
Project overview
I am looking for a Senior AI Engineer to design, put into production, and scale AI agents for operational teams.
📍 Location: 92 - Ile de France
⏳ Mission: long duration / Start ASAP
💰 Daily rate: according to profile
🎯 Your missions:
🛠️ Technical Stack:
🤖 Profile sought:
📩 Interested? Send me your CV by private message or contact me directly to learn more.
#GenAI #AgenticAI #AIEngineer #MCP #LangGraph #AWS #Hospitality #Freelance #Hiring #TechJobs
- Design and develop detection agents
- Develop an "agent of agents" to adapt agents
- Connect agents to systems (PMS, channel managers, revenue management, CRM) via API and tool calling, in real-time or event-driven
- Implement agent evaluation before and after each production deployment (business test cases, LLM-as-a-judge, trace analysis) and monitor quality, latency, and costs
- Manage progressive deployments and industrialization (CI/CD, observability, monitoring)
- Design multi-agent orchestration and interoperability with third-party agents (MCP, A2A)
- Ensure security and compliance: prompt injection including indirect, human validation of sensitive actions, GDPR and AI Act
- Expert Python, SQL
- Agent frameworks (LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK or equivalent)
- MCP, A2A, tool calling, structured outputs
- AWS, containerization, CI/CD, LLMOps / MLOps
- Multi-tenant architectures, OWASP Top 10 for LLM Applications
- 7+ years of experience in software or ML engineering, including 2+ years on LLM or agent solutions in production
- GenAI agents or applications in production used daily by business teams, beyond POC
- Concrete experience with multi-agent architectures (orchestration, interoperability)
- Comparable references in large accounts or multi-site environments
Project details
- Start: flexible
- Remote: hybrid
- Location: 92000 Nanterre, France, FR
- Languages: French
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