Senior AI Engineer – GenAI & AI Agents

Project overview

Detailed description of the need

As part of a strategic AI transformation program, we are looking for a Senior AI Engineer to participate in the design, development, and industrialization of high-value business AI agents.

The objective is to develop robust, secure, and scalable agentic AI solutions capable of automating complex operational processes and integrating with heterogeneous information systems.

You will be part of a multidisciplinary team composed of Product, Tech, and AI Engineering profiles, with a key role in architectural choices, production deployment, and scaling of solutions.

Your main missions:

Mission challenges:

Participate in building GenAI solutions used daily by operational teams, with the goal of large-scale deployment in a multi-entity environment.

This mission is resolutely focused on production, scalability, and business impact, going far beyond POC development.

• Design and development of AI agents: design and develop intelligent agents dedicated to anomaly detection, business process automation, and decision support.
• Multi-agent architectures: implement orchestration, communication, and interoperability mechanisms between agents (MCP, A2A).
• Development of configurable agents: design solutions allowing business users to customize agent behaviors, with configuration management, versioning, and guardrails.
• IS integration: connect agents to existing business applications and systems via API, tool calling, and event-driven architectures.
• Evaluation and optimization: define testing strategies, measure response quality, ensure agent reliability, and optimize performance, latency, and costs.
• Industrialization and production deployment: implement LLMOps/MLOps best practices (CI/CD, observability, monitoring, progressive deployments, incident management).
• Security and compliance: integrate security requirements from the design phase (data protection, prompt injection, guardrails, human-in-the-loop, GDPR, AI Act).
• Technical leadership: support AI Engineers, participate in code reviews, and contribute to architectural decisions.

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French