Artificial Intelligence Engineer - Java/Python
AI Engineer (LLMs, Python & Java)
Bracknell (Hybrid)
What if you could own and build the AI capability from the ground up in a scaling, purpose-driven tech company?
We’re hiring the first dedicated AI Engineer to join a fast-growing (~200 people) SaaS organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment.
The Role
You’ll sit at the intersection of AI, backend engineering, and cloud systems, designing and deploying intelligent features that directly impact users.
Expect to:
- Design and implement LLM-based applications (RAG pipelines, agents, copilots)
- Build scalable backend services using Python and Java
- Integrate AI into existing cloud-native SaaS platforms
- Own the full lifecycle: experimentation → prototyping → production
- Optimise model performance, cost, and latency in real-world environments
- Collaborate across engineering, product, and data teams to identify high-impact AI use cases
What We’re Looking For
- 5+ years in software engineering, with strong experience in Python and/or Java
- Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG)
- Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered)
- Strong understanding of APIs, microservices, and distributed systems
- Familiarity with tools like Docker, Kubernetes, and CI/CD pipelines
- Experience working with data stores (SQL/NoSQL) and large datasets
- Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.)
Why Join?
- Be the first AI hire — real ownership and influence
- Work on meaningful, tech-for-good products
- Modern stack, forward-thinking leadership, strong growth trajectory
- Opportunity to define architecture, tooling, and best practices
Package
- Salary up to £95,000 (depending on experience)
- Bonus + private medical
- Bracknell-based hybrid working