GenAI Agent Engineer - Production ML & Orchestration

Equativ (formerly Smart); Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a skilled Python Developer/ML Engineer to build production-grade GenAI agents and multimodal experiences. You will own agent lifecycles, implement AIOps/MLOps practices, and work across the full stack from orchestration layers to backend services, using ADK, Langchain, LangGraph, and Kubernetes.

The role emphasizes strong Python expertise, production deployments, and collaboration with cross-functional teams to enable scalable GenAI features in a fast-paced environment.

Qualifications

• Master's degree in Computer Science, Data Science, or a similar technical field.
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Responsibilities

• Own the production lifecycle of AI agents and agentic platforms, ensuring robust monitoring, versioning, evaluation pipelines, and reliability.
• Design, develop, and deploy production-ready agent workflows and orchestration layers using Python frameworks (ADK, Langchain, LangGraph).
• Collaborate with R&D teams to build MCP servers and backend services that agents interact with, and contribute to GenAI Center of Expertise.

Skills

Python

LLM deployment

CI/CD

Git

Observability

AIOps/MLOps

Education

Master's degree in Computer Science

Tools

ADK

Langchain

LangGraph

n8n

Kubernetes

Vertex AI

Job description

Jobtailor is seeking a skilled Python Developer/ML Engineer to build production-grade GenAI agents and multimodal experiences. You will own agent lifecycles, implement AIOps/MLOps practices, and work across the full stack from orchestration layers to backend services, using ADK, Langchain, LangGraph, and Kubernetes.

The role emphasizes strong Python expertise, production deployments, and collaboration with cross-functional teams to enable scalable GenAI features in a fast-paced environment.