Principal GenAI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal GenAI Engineer (AI): Shaping the technical architecture and strategic direction of GenAI platforms with an accent on agentic workflows, RAG, and LLM-powered tooling. Focus on designing high-stakes AI systems, establishing architectural standards, and ensuring responsible AI governance at scale.
Location: On-site in London with flexibility to work from home up to 1 day per week.
Company
is the UK’s fastest-growing used car marketplace, connecting private sellers with verified dealers through a technology-led platform.
What you will do
- Set the overarching architecture for GenAI, including patterns for prompt design, RAG, and agent orchestration.
- Design and build the most complex technical components, leading high-risk, high-reward AI initiatives.
- Hold sign-off authority on architectural decisions for complex GenAI systems.
- Advise leadership on build-vs-buy strategies for AI infrastructure and vendor selection.
- Drive cost, latency, and throughput optimization across production systems.
- Define responsible AI principles and ensure alignment with regulatory frameworks like the EU AI Act.
Requirements
- 8+ years of experience building production AI/ML systems, with at least 2 years in GenAI.
- Strong engineering fundamentals in Python and modern API-driven architectures on cloud infrastructure (AWS).
- Hands-on expertise with LLM APIs, prompt engineering, RAG, agentic architectures, and evaluation frameworks.
- Proven track record of setting architectural standards adopted across multiple engineering teams.
- Experience aligning engineering decisions with responsible AI frameworks like NIST AI RMF or the EU AI Act.
- Ability to communicate complex technical strategy to executive and board-level audiences.
Nice to have
- External technical presence through publications, open-source contributions, or conference talks.
- Experience leading organizations through major AI paradigm shifts.
- Working knowledge of ML Engineering and platform layers.
- Background in regulated, safety-critical, or trust-heavy domains.
Culture & Benefits
- Stock options to share in company growth.
- Comprehensive health insurance through BUPA and fitness discounts.
- Generous parental benefits including 6 months full paid maternity leave.
- Pension scheme through NEST.
- Budget for personal development, books, and conferences.
- Cycle to work scheme and regular social events.
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