OakNorth

AI Native Engineer – AI Enablement

OakNorth

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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About the role

  • Build production-grade AI tools and agents that support the full development lifecycle:
  • Product ideation and discovery
  • Technical specification review and early feedback
  • Code generation, refactoring, and review
  • Documentation generation and maintenance
  • Test generation and quality validation
  • Observability, log analysis, and incident support
  • Ship AI-native product features for core OakNorth products:
  • Experiment with AI-powered capabilities across our product portfolio
  • Move from concept to production quickly, proving what's possible
  • Establish reusable patterns and hand off to product teams for long-term ownership
  • Balance rapid experimentation with production-quality delivery
  • Deliver AI-enabled workflows end-to-end, such as:
  • Agents that inspect logs and metrics to surface bugs, risks, or performance issues
  • Automated pull requests with proposed fixes or improvements
  • AI-assisted review of design documents and architectural decisions
  • Own initiatives from discovery to adoption: problem framing → solution design → implementation → rollout → measuring impact
  • Partner with product and engineering teams to embed AI tools into daily workflows, ensuring real adoption and measurable outcomes
  • Define standards and guardrails for AI usage in a regulated, security-conscious environment
  • Raise AI fluency across the organisation by sharing learnings, patterns, and examples that help others level up

Requirements

  • Strong engineering fundamentals
  • 5+ years building and operating production systems
  • Comfortable working full-stack or with deep expertise in backend/platform engineering
  • Proven track record in designing and building systems used by other engineers
  • Strong product mindset: you measure success by outcomes and adoption, not just output
  • Skilled at rapid experimentation: you're comfortable with uncertainty, test ideas by shipping quick prototypes, and learn as much from failures as successes
  • Skilled at breaking down ambiguous problems into practical, scalable solutions
  • You're already in the habit of: using AI tools daily to accelerate your work (coding, debugging, reviews, documentation)
  • Treating AI as a collaborator in your workflow, not a novelty
  • Thinking in terms of agents, workflows, and automation
  • Iterating quickly: experiment → learn → refine → scale
  • You've experienced firsthand how AI-native tools transform productivity, tools like Cursor, Claude Code, ChatGPT, Lovable, and others. What matters is a track record of quickly learning and integrating new AI tools into your workflow.
  • Nice to have: Experience building or orchestrating AI agents or multi-step workflows
  • Familiarity with LLM APIs, prompt engineering, or tool-calling patterns
  • Background integrating AI into CI/CD pipelines, observability, or developer tooling
  • Experience working in regulated environments (financial services, security-sensitive systems)
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
AI tools developmentcode generationrefactoringtest generationquality validationbackend engineeringfull-stack developmentsystem designautomationprompt engineering
Soft Skills
strong engineering fundamentalsproduct mindsetrapid experimentationproblem-solvingcollaborationiterative thinkingadaptabilitycommunicationlearning from failuresscalability