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Graduate AI Software Engineer AI Tech Scale Up - Comp + Equity

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hunter Bond
Full Time position
Listed on 2026-02-17
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 GBP Yearly GBP 150000.00 YEAR
Job Description & How to Apply Below
Position: Graduate AI Software Engineer - (AI Tech Scale Up) - Up to £150k First Year Comp + Equity!
Location: Greater London

Job Title: Graduate AI Software Engineer (AI Scale Up)

Client: AI Scale-Up – Founded by ex-HRT, Deep Mind and Palantir Engineers

Salary: Up to £150k 1st Year Comp + Equity

Location: London (Hybrid)

Sells: Work on cutting-edge AI systems that power innovation al ownership of greenfield projects, modern tech stack (Python/FastAPI/Cloud), and a culture that rewards curiosity, autonomy, and clean engineering.

An AI Tech company is expanding its high-calibre engineering team and looking for Software 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.

Role

  • Design and build production-grade backend systems using Python 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
  • Work heavily on AI tooling and agentic coding agents
  • Drive continuous improvement and innovation across the engineering organisation

Skills

  • A Computer Science degree from a top university (Oxford, Cambridge, Imperial, Durham etc.)
  • Strong Python skills (FastAPI preferred; Flask or Django also considered)
  • Experience with agentic coding tools is useufl
  • Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation
  • Understanding of software engineering best practices — testing, CI/CD, clean code
  • 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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