Software Engineering
EggAI Technologies
EggAI is an applied AI company with offices in Paris, Munich, Rome and London that designs and deploys production-grade agentic AI systems for enterprise clients. EggAI is hiring an AI Engineering Lead to lead a remote engineering team across the full lifecycle of client engagements. This is a remote position open to candidates located anywhere in the EU (the listing gives the location as EU plus or minus two hours), and EggAI states that it only accepts candidates located in the EU. The role is hands-on: you will write production code, set technical direction, develop the team and guide client stakeholders. The work spans five areas. Discover: validate business opportunities against AI capabilities and constraints and identify new opportunities enabled by the technology. Design: own solution design and system architecture across agents, tools, data, evaluations, controls, human oversight and deterministic boundaries. Build: personally implement critical components including agents, integrations, evaluation infrastructure and observability. Deliver: guide teams and clients from implementation through adoption with engineering quality and production readiness. Compound: convert successful approaches into reusable tools, datasets and engineering methods for future engagements. Salary and benefits are not stated on the listing.
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Lead a small remote engineering team delivering production agentic AI systems for enterprise clients. Validate business opportunities against AI capabilities and constraints. Own solution design and system architecture across agents, tools, data, evaluations, controls, human oversight and deterministic boundaries. Personally implement critical system components including agents, integrations, evaluation infrastructure and observability. Guide teams and clients through implementation to adoption, ensuring engineering quality and production readiness. Turn successful approaches into reusable tools, datasets and engineering methods.
Proven track record leading small engineering teams with demonstrable business impact. Experience designing and operating production-grade AI systems. Ability to stay current with AI advances and integrate new capabilities effectively. Stakeholder management in complex environments and strong cross-functional communication. Production-level coding proficiency in Python, TypeScript or JavaScript or equivalent, strong engineering fundamentals and sound statistical and experimental judgment. Experience designing instrumentation and feedback loops for continuous system improvement. Nice to have: experience in security-sensitive or regulated environments, building AI tooling and evaluation infrastructure, recruiting and developing engineering talent, open-source contributions or active AI community participation. Must be located in the EU.
Salary not disclosed
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