AI Engineer

Salary: £75,000 - 82,000 per year

Requirements

• We require strong Python backend engineering experience.
• We require experience building and deploying LLM-based applications.
• We require a good understanding of APIs, distributed systems, and cloud platforms.
• We require hands-on experience with RAG, embeddings, and AI orchestration.
• We require experience with Docker, Kubernetes, and modern engineering practices.
• We are looking for someone comfortable operating in a fast-moving product environment.
• We consider experience with agentic AI frameworks a strong advantage.
• We consider experience implementing AI evaluation and guardrails a strong advantage.
• We consider experience fine-tuning or hosting LLMs a strong advantage.
• We consider experience with reinforcement learning or planning systems a strong advantage.
• We welcome an MSc or PhD in a relevant discipline as a nice to have.

Responsibilities

• We build and deploy production AI applications using LLMs.
• We design agentic workflows and multi-step AI pipelines.
• We develop scalable backend APIs and cloud-native services.
• We create RAG pipelines, embeddings, and AI retrieval systems.
• We improve AI reliability through testing, evaluation, and guardrails.
• We work closely with engineering, product, and business teams.
• We contribute to architecture decisions and AI best practice.
• We help shape the future direction of AI capability across the business.

Technologies

• AI
• AWS
• Backend
• Cloud
• Docker
• Kubernetes
• LLM
• Python
• microservices

More

We are a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. This is a hands-on AI engineering role focused on building scalable, production-grade AI systems that deliver real commercial impact across our platform. We work 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. Our tech environment includes Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture, and modern AI engineering tooling. We offer the opportunity to work on cutting-edge AI products, take ownership in a high-impact role, and join an AI-first environment with strong growth plans and long-term investment. The role offers fully remote flexibility and is suited to someone who wants to build production AI systems rather than just experiment with them.

last updated 22 week of 2026