Graduate AI Engineer

Permanent | Hybrid (3 days on-site) | £35,000-£48,000 | Stock Options

We have partnered with an early-stage AI startup building intelligent software for the maintenance, engineering, and industrial operations space.

They’re looking for a proactive, confident, Graduate Software Developer to join the team and grow alongside the business as they scale their AI-driven platform.

This is a strong opportunity for someone early in their career who has already started building with AI outside of university or commercial work, whether through personal projects, open-source contributions, hackathons, internships, or production deployments.

The team care far more about curiosity, initiative, and evidence of building than perfect commercial experience.

What you’ll be working on:

• Supporting development of AI-powered applications and workflow tooling
• Building backend services, APIs, and integrations
• Working with LLMs, AI agents, RAG pipelines, embeddings, and prompt workflows
• Contributing to frontend product functionality and internal tooling
• Helping improve AI outputs, reliability, and user experience
• Collaborating closely with experienced engineers and founders on real production systems
• Learning how AI products are designed, deployed, monitored, and scaled in live customer environments

Tech environment:

• Python (~60% of existing codebase)
• TypeScript / JavaScript
• Node.js / FastAPI
• AWS > Potential to move to GCP
• REST APIs
• AI agents / RAG / vector databases
• Modern LLM tooling

They’re looking for someone who:

• Has recently graduated or is early in their software engineering career
• Has built AI or LLM-related projects either commercially, academically, or personally
• Enjoys learning quickly and experimenting with new technologies
• Has a solid software engineering foundation across backend or fullstack development
• Is excited by startups, ownership, and solving real-world problems
• Communicates well and enjoys collaborative environments - willing to give input and not only take direction

Examples of experience they’d value:

• AI side projects
• Chatbots or AI agents
• RAG pipelines
• Prompt engineering
• Open-source contributions
• Hackathons
• Production deployments
• Personal tools built with OpenAI/Anthropic APIs
• GitHub portfolios showing experimentation and curiosity

This would suit someone who genuinely enjoys building, experimenting, and learning fast within an AI-first startup environment.