AI Engineer | Hybrid | Python | AWS | LLMs | Agentic AI
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 investmentIf 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