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As AI Engineering Lead, you’ll lead the charge in defining and scaling the intelligence that powers our Agent Enablement Platform. You’ll shape the research roadmap, architecting multi-agent systems that automatically generate and retrieve context that makes AI a dependable teammate for developers. You’ll oversee a hybrid team of researchers and engineers working at the frontier of context generation, retrieval, and evaluation. Together, you’ll design systems that can interpret complex development environments, synthesize documentation, and continuously measure and improve agent effectiveness as a project evolves. You’ll balance hands-on technical depth with high-leverage leadership—diving into Python orchestration code one moment, then steering long-term architecture, evaluation frameworks, and team growth the next. This is a role for someone who thrives in ambiguity, moves fast without breaking rigor, and can make thoughtful calls on when to ship and when to invest in foundations.
Job Responsibility:
Architect and own our AI pipelines — from multi-agent workflows and retrieval pipelines to automatic evaluation and feedback loops
Design scalable context generation systems that synthesize documentation, styleguides, and steering artefacts to enhance agent performance
Optimize retrieval pipelines to achieve the ideal balance of quality, latency, and cost
Build internal tooling for evaluation, context engineering, and inference — the backbone of how we train and measure our agents
Collaborate across teams (PM, UX, product engineering, and leadership) to ship high-impact features at startup speed
Define and scale the team culture — recruiting top talent, mentoring others, and embedding the principles of AI-native engineering into everything we build
Requirements:
A degree (Masters/PhD preferred) in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or related fields
10+ years of engineering experience, with 3+ years leading AI-focused teams
Fluency in some of these areas: Python, Anthropic/OpenAI APIs, vector databases, and eval tooling
Strong fundamentals in Machine Learning, Data Science and Evaluation Frameworks
Experience with agent orchestration, retrieval-augmented generation (RAG), and agentic workflows
Experience developing agentic workflows
Proven experience shipping AI-first products that bridge research and real-world application
Comfort working across the stack or partnering closely with frontend/backend teams
What we offer:
25 days holiday
health insurance, including dental and vision, which extends to partners and dependents
company-matched pension
commuting stipend for those who live outside London