Ingénieur·e IA – Skills & Systèmes agentiques
Core
Translate business processes and data structures into executable skills and instructions for agentic systems, connecting them to tools and other agents.
Role type
Senior IC AI Engineer (Agentic Systems & Context Engineering)
Builds
Agentic workflows, modular skills, and production-ready agent systems for client organizations
Domain
AI / Agentic Systems / Business Process Automation
Deliverable
production ML models
Required skills
Python, API integration, agentic system architecture, context engineering, RAG, tool calling, multi-agent orchestration, LLM evaluation (LLM-as-a-judge), guardrails, observability
Preferred skills
LangGraph, Claude Agent SDK, Semantic Kernel, Model Context Protocol (MCP), Langfuse, LangSmith, Arize, CI/CD, cloud environments (Azure, AWS, GCP), regulated industries (finance)
Technologies
Python, OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Mistral AI, LangGraph, MCP, Langfuse, LangSmith, Arize
Responsibilities
Model business processes and decision rules for agents; design modular, versioned skills and tool definitions; engineer context and data flows for agents; build test suites and automated evaluation criteria; implement guardrails and production monitoring; train client teams on skill maintenance
Seniority
Senior, hands-on IC
