AI Engineering Lead - Remote EU, Production-Grade Systems

Eggai; France; Remote; EUR 120,000 - 180,000; Full time

Job summary

Eggai is seeking a senior leader to drive the design, development, and deployment of production-grade AI systems for enterprise clients. You will lead a small remote team, own architecture across agents and data, and ensure production readiness while guiding clients through adoption and measurable results.

Responsibilities include building critical agents and evaluation infrastructure, establishing governance and controls, and turning successful approaches into reusable assets for future

Qualifications

• Experience designing, shipping, and operating production-grade AI systems.
• Ability to lead small engineering teams and communicate across stakeholders.
• Strong coding skills in Python or TypeScript/JavaScript.
• Experience with AI tooling, evaluation infrastructure, or data assets.
• Open-source contributions or AI community involvement.

Responsibilities

• Act as a trusted technical counterpart to client teams.
• Own solution design and system architecture across agents, tools, data, evaluations, controls, human oversight, and deterministic boundaries.
• Build the system's critical agents, integrations, evaluation infrastructure, permissions, observability, controls, and feedback loops.
• Deliver: Lead the team and client from implementation through adoption, owning engineering quality and production readiness.
• Package successful work as tools, datasets, evaluations, patterns, and engineering methods.

Skills

AI systems design

Technical leadership

Production-grade coding

Python

TypeScript/JavaScript

Experimentation

Communication

Tools

Python

TypeScript

Job description

Eggai is seeking a senior leader to drive the design, development, and deployment of production-grade AI systems for enterprise clients. You will lead a small remote team, own architecture across agents and data, and ensure production readiness while guiding clients through adoption and measurable results.

Responsibilities include building critical agents and evaluation infrastructure, establishing governance and controls, and turning successful approaches into reusable assets for future