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)
* 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
* Open-source contributions
* Hackathons
* 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.
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