SearchWorks
Head of Engineering
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Head of Engineering — AI Platform
You don’t need to have held the title “Head of Engineering” before. We’re looking for someone with strong technical credibility who is ready to take ownership of the wider engineering function.
Location
London / Hybrid, with flexibility for remote working
About Us
We’re working with a fast-growing tax technology business building an AI-powered platform that is transforming complex, manual processes into intelligent automation. This is a highly hands-on leadership role for an experienced engineer ready to step into a Head of Engineering position.
You might currently be a Technical Lead, Lead Engineer, Staff/Principal Engineer or hands-on Engineering Manager. You’ll be capable of setting technical direction and leading a team, but you’ll still want to design systems, review code, solve difficult engineering problems and build production software yourself. This is not a role for someone looking to move away from engineering into pure management.
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What you’ll be doing
- Writing and shipping production code as a core part of the role
- Leading the architecture and development of an AI-powered SaaS platform
- Building and productionising features involving LLMs, AI agents, retrieval systems and intelligent workflows
- Reviewing code, improving engineering quality and resolving complex technical issues
- Leading and developing a small engineering team through hands-on technical guidance
- Establishing practical standards around testing, deployment, observability, security and documentation
- Introducing the guardrails needed to use AI safely in a regulated, data-sensitive environment
- Working closely with the founders, product team and customers to turn commercial problems into reliable technical solutions
- Helping recruit and shape the engineering team as the business grows
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What you’ll likely bring
- A strong software engineering background with recent, substantial hands-on coding experience
- Meaningful experience building AI-enabled products—not simply using AI development tools or creating proofs of concept
- Experience taking LLMs, AI agents, RAG or machine-learning-powered workflows into production
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