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AI Engineering Lead

Tessl

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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
  • cycle to work scheme

Additional Information:

Job Posted:
February 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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