Artificial Intelligence Engineer

AI Engineer (Agentic Systems / LLM Applications)

Location: London (Hybrid)

Type: Full-time

The Opportunity

A high-growth AI and analytics scale-up is building next-generation intelligent systems that help global enterprises better understand and act on customer behaviour at scale.

This is an opportunity to join a deeply technical, product-focused engineering team working on real-world, production AI systems — not just prototypes — leveraging LLMs, agentic workflows, and modern cloud infrastructure.

You’ll play a key role in bridging the gap between software engineering and applied AI, building systems that directly impact millions of users across multiple industries.

The Role

As an AI Engineer, you’ll design, build, and deploy agent-driven software systems that turn cutting-edge AI capabilities into reliable, scalable products.

This is a hands-on, end-to-end role, covering everything from prototyping through to production deployment and iteration.

Key Responsibilities

• Build scalable, production-grade agentic systems and AI-powered applications
• Design and develop end-to-end features from concept to deployment
• Develop and maintain data pipelines, APIs, and CI/CD workflows
• Work closely with product and design teams to deliver user-facing functionality
• Apply best practices across performance, scalability, and maintainability
• Contribute to technical discussions, code reviews, and knowledge sharing

What They’re Looking For

Core Requirements

• Strong software engineering fundamentals (SDLC, testing, system design)
• Experience taking products from development → production
• Familiarity with cloud infrastructure and deployment pipelines
• Exposure to or strong interest in agentic systems / LLM applications
• Product mindset — focused on impact, iteration, and delivery
• Curious, adaptable, and comfortable working in an evolving AI landscape

Nice to Have

• Experience with data pipelines or data engineering
• Understanding of large language models (LLMs) and real-world applications
• Exposure to modern AI tooling, agents, or workflow orchestration frameworks

Tech Environment

You’ll work across a modern, AI-first stack including:

• Agent Frameworks: MCP (Model Context Protocol), agent-to-agent systems, emerging agent tooling
• Frontend: TypeScript, React, Next.js
• Backend: Python, Node.js
• Data & ML Platform: Databricks
• Infrastructure: AWS, Docker, Kubernetes

Why This Role

• Build production AI systems at scale (not just experimentation)
• Work on agentic / LLM-first products at the forefront of industry evolution
• Join a high-growth environment with strong technical leadership
• Real ownership across the full lifecycle of AI-powered features