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Hunter Bond Linkedin · Posted 3d ago

Graduate AI Engineer

London, Westminster, United Kingdom

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Indexed description

Job Title: Graduate AI Engineer

Client: AI Tech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers

Salary: Up to £150k + Bonus + Equity

Location: London (Hybrid)

Sells: Work on cutting-edge AI systems that power innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack, and a culture that rewards curiosity, autonomy, and clean engineering.


An AI Tech company is expanding its high-calibre engineering team and looking for AI Engineers who thrive on building elegant, scalable systems from the ground up.


You’ll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare.


Role

  • Design and build production-grade backend systems using Python, Typescript and FastAPI
  • Develop distributed, high-performance services and APIs for AI-driven platforms
  • Contribute to architecture decisions, scalability planning, and system optimisation
  • Implement best practices in testing, CI/CD, and performance monitoring
  • Collaborate closely with product, AI, and data teams to deliver end-to-end solutions
  • Drive continuous improvement and innovation across the engineering organisation

Skills

  • Outstanding academics (1st Class Degree from Top University)
  • Strong coding skills (FastAPI preferred; Flask or Django also considered)
  • Experience with Claude Code or other agentic coding tools
  • Competitive programming (e.g. ICPC/IOI is a distinct advantage)
  • A genuine interest in AI systems, automation, and applying engineering to real-world impact

Sells

  • Chance to shape core architecture in a high-impact environment
  • Flat, engineering-led structure with autonomy and trust
  • Work on complex, meaningful technical problems that matter
  • Strong equity offering and long-term growth opportunities
  • Culture built around innovation, ownership, and collaboration
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