Job Description
We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation.
They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform.
This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally.
You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience.
What you'll be doing
- Building and deploying production AI applications using LLMs
- Designing agentic workflows and multi-step AI pipelines
- Developing scalable backend APIs and cloud-native services
- Creating RAG pipelines, embeddings and AI retrieval systems
- Improving AI reliability through testing, evaluation and guardrails
- Working closely with engineering, product and business teams
- Contributing to architecture decisions and AI best practice
- Helping shape the future direction of AI capability across the business
Tech environment
Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling.
What they're looking for
- Strong Python backend engineering experience
- Experience building and deploying LLM-based applications
- Good understanding of APIs, distributed systems and cloud platforms
- Hands-on experience with RAG, embeddings and AI orchestration
- Experience with Docker/Kubernetes and modern engineering practices
- Someone comfortable operating in a fast-moving product environment
Nice to have
- Experience with agentic AI frameworks
- AI evaluation and guardrail implementation
- Fine-tuning or hosting LLMs
- Reinforcement learning or planning systems
- MSc or PhD in a relevant discipline
Why apply?
- Opportunity to work on genuinely cutting-edge AI products
- High-impact engineering role with real ownership
- Modern tech stack and AI-first environment
- Fully remote flexibility
- Strong growth plans and long-term AI investment
If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
