Graduate AI Software Engineer AI Tech Scale Up - Comp + Equity
Listed on 2026-02-17
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Software Development
AI Engineer, Software Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
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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