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Fyndr Group is seeking a Principal AI Engineer to lead the design and delivery of production AI solutions for enterprise customers. This hands-on role requires building production Python services, shaping architecture, and guiding teams through the full lifecycle from discovery to production.
You will work with LLMs, retrieval, and agentic systems, delivering reliable software while staying close to code and customer outcomes. You will influence tech direction and mentor peers.
We're looking for a Principal AI Engineer to join a specialist AI consultancy delivering production AI systems for enterprise organisations.
This is a hands‑on engineering role. You'll work directly with customers, lead technical direction and remain close to the code throughout delivery. The work spans large language models, retrieval, agentic systems and modern software engineering, with each engagement presenting a different technical challenge.
You'll join a small team of experienced engineers solving problems that rarely have established answers. You'll be trusted to make technical decisions, influence architecture and build software that customers depend on.
Why this role?
Many Principal Engineers eventually find themselves spending more time managing projects than solving engineering problems.
This role is different.
You'll continue building software while taking ownership of the technical decisions that shape each solution. From the first customer workshop through to production, you'll be responsible for turning complex problems into practical, reliable systems.
You'll work across a variety of industries, technologies and use cases, giving you the opportunity to solve new problems rather than maintaining the same product year after year.
If you enjoy learning quickly, working with capable engineers and building software that delivers measurable outcomes, you'll feel at home here.
What you'll be doing
What we're looking for
What success looks like
You'll become the engineer customers trust with their hardest technical problems. You'll influence how systems are designed, help other engineers succeed and continue contributing production code while raising the engineering standard across every engagement.