AI Engineer, UK

Description

The company is an applied AI technology firm that works with large institutions to redesign their critical operations. Its customers include major companies in telecom, healthcare, insurance, manufacturing and consumer goods, along with global social organisations.

The company builds and deploys technology for AI-native operations, both for its partners and for itself. Its work covers research into self-constructing systems, reliable execution of AI systems, and products for mission-critical workflows. Its technology touches hundreds of millions of consumer interactions, tens of millions of supply chain transactions and millions of patient journeys.

Investors include Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and board members from more than 20 Fortune 500 companies.

The company is opening a London office and is hiring AI Engineers to design and deploy production AI systems built on LLMs. AI Engineers work directly with Fortune 500 companies on complex workflows, shipping real applications from intelligent agents to full-stack AI products and watching them run at scale.

Responsibilities

• Design, build and deploy reliable AI applications on LLMs, covering prompt engineering, agent workflows, tool use and full-stack products.
• Work with enterprise stakeholders to understand hard problems and turn them into AI solutions that matter.
• Design scalable architectures for production AI systems, weighing performance, reliability, cost and maintainability.
• Build reusable infrastructure, tools and workflows for the company's internal LLM application platform, used across customer deployments.
• Create evaluation frameworks that measure accuracy, latency, cost, reliability and safety.
• Make sure systems meet high standards for observability, reliability, security and maintainability.
• Improve development workflows, evaluation methods and deployment approaches as the AI platform evolves.

Requirements

• Work hands-on, collaborating closely with customers, setting system architecture, and building high-impact AI systems from prototype to production.
• Help set technical direction on major customer projects, guiding enterprise teams through AI adoption and deployment.
• 8+ years of professional software engineering experience.
• Strong skill in Python or TypeScript.
• Experience building and running LLM-powered applications or AI agents in production.
• Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP or agent frameworks.
• Experience building RAG pipelines, tool use or multi-step AI workflows.
• Strong grasp of evaluating, debugging and monitoring AI systems.
• Experience building reliable production systems using current DevOps practices.
• Experience deploying AI systems in enterprise environments: a plus.
• Experience across cloud platforms such as AWS, GCP or Azure: a plus.
• Experience with agent architectures and long-horizon task execution: a plus.
• Familiarity with responsible AI practices, including auditability and governance: a plus.

Conditions

Based in London, UK, with a hybrid work model.

Benefits

• Competitive salary, meaningful equity and a comprehensive benefits package.
• Workplace pension with employer contributions.
• Private medical insurance.
• Flexible time off and holidays.
• Lunch provided on office days.
• Access to cutting-edge models, generous use of modern AI tools, and real business problems.
• Ownership of high-impact projects with top enterprises.
• A curious, pragmatic, fast-moving culture that values excellence.