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