Lead AI Engineer

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead AI Engineer into their UK HQ (just north of London), as they build a new conversational AI platform from the ground up. This hire will be based predominantly from home, ideally spending 1 day per week in the office, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As Lead AI Engineer you will: • Architect and implement the LLM, agentic and RAG modules that power the platform’s low-code environment. • Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic and probabilistic behaviours. • Develop scalable backend services for multi-tenant execution of AI agents, including concurrency management, task routing and resource control. • Fine tune and evaluate LLMs and SLMs for enterprise use cases such as knowledge automation, summarisation, classification, conversational agents and multi-step reasoning. • Deploy LLM-based applications and agentic workflows at scale, with practical awareness of compute cost modelling, latency trade-offs, container orchestration and distributed systems patterns. We want to hear from you if: • You have 4+ years of hands-on experience building production applications, with at least 2 years as a Senior/Lead AI Engineer or ML Engineer shipping AI products and features. • You're an expert when it comes to backend development using Python and you're proficient in modern web technologies, especially TypeScript. • You have an understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows or strong desire to build AI products from scratch. • Hands-on experience building and deploying LLM-based applications, including knowledge of tokenisation, prompt optimisation, model selection and evaluation methods. • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures. What do they offer? • Salary between £130k-£150k • Comprehensive benefits package • Maximum of 1 day a week in office, the rest based at home • Work from anywhere policy