Software Engineering Lead - AI / LLM experience needed

We are seeking an Engineering Lead for a top multinational in Dublin that has a background in AI or LLM's and lead a team of 2-5 Engineers.

Responsibilities:

• You will own and deliver engineering workstreams end-to-end, from early technical discovery through to implementation and handover.
• You will operate in an innovation-driven environment where requirements may be incomplete and timelines constrained.
• The expectation is that you bring structure, make sound trade-offs, and deliver working software with a clear path to deployment and ongoing support.
• This is a hands-on engineering role. Success is not just about writing code, but about delivering working solutions end-to-end.
• You will drive delivery by personally owning significant parts of the implementation, shaping scope and approach in collaboration with peers, and ensuring solutions can be deployed, operated, and evolved.
• You will work closely with data scientists, engineers, and product partners to turn requirements into AI-enabled capabilities embedded in real products.
• You will also contribute to team capability through code reviews, pairing, shared patterns and standards, and practical improvements to how the team builds and ships software.

Your Experience:

• 5+ years' experience as a software engineer delivering production-grade systems.
• Proven experience owning and delivering technical workstreams end-to-end, from early solution design through implementation and handover.
• Strong software engineering fundamentals, including system design, APIs, data management, testing, and code quality.
• Hands-on experience building and integrating AI-enabled capabilities into products or platforms, with an application and integration focus rather than pure research.
• Demonstrated ability to operate effectively in ambiguous problem spaces, translating evolving requirements into clear technical approaches.
• Experience across the full software development lifecycle, including operational and support considerations.
• Familiarity with cloud-native environments and modern delivery tooling, including CI/CD pipelines, containers, and managed services.

For more info you can contact [email protected]