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Location   

London / Remote

Type   

Permanent

Salary   

£90,000 - £140,000 per annum

Sector   

Engineering

Reference   

39837-1

Contact   

Tom Pollock

Telephone

+44 203 397 4565


AI Native Product Engineer

We're working with a well-funded, early-stage startup with ambitious plans to build the next generation of AI native applications.

The team is developing intelligent products that go beyond traditional software, using large language models, autonomous AI agents and advanced automation to understand user intent, make decisions and complete complex tasks.

This is an opportunity for a Product Engineer who combines strong software engineering skills with genuine product thinking. You'll join a small, highly capable team, taking ideas from concept to production and helping shape how AI is integrated into everyday digital experiences.

You'll be working on challenging problems around agent orchestration, contextual memory, tool integration and building reliable AI systems that can operate in real-world environments.

What You'll Do

  • Design, develop and ship AI native product features, taking ownership from concept through to production.

  • Build scalable backend services, APIs and integrations using Python and modern engineering technologies.

  • Develop AI agent workflows capable of reasoning through tasks, interacting with external tools and executing multi-step processes.

  • Integrate LLMs, retrieval augmented generation (RAG) and contextual memory to create more personalised and intelligent user experiences.

  • Build reliable systems around AI models, including orchestration, error handling, monitoring and evaluation.

  • Work closely with engineers, designers and product stakeholders to turn complex AI capabilities into intuitive, practical products.

  • Experiment with emerging AI technologies and continuously improve products based on performance and user feedback.

What You'll Bring

  • Strong software engineering experience with a track record of building and launching digital products.

  • Hands-on backend development experience, ideally using Python.

  • Practical experience building applications using LLM APIs, RAG, AI agents or agent orchestration frameworks.

  • Understanding of how AI models interact with backend services, databases, APIs and external tools.

  • Experience with scalable system architecture, cloud infrastructure and production engineering.

  • Ability to work across the stack, with technologies such as TypeScript, React, Go or similar.

  • Strong product instincts, technical ownership and confidence working in fast-moving environments.

Experience with FastAPI, PostgreSQL, AWS, Kubernetes, LangGraph, LangChain or similar technologies would be beneficial, although we're more interested in engineering ability and what you've actually built than a perfect technology match.

What's On Offer

  • The opportunity to help build ambitious AI native products from an early stage.

  • Genuine ownership of technical decisions, architecture and product development.

  • Challenging engineering problems across LLMs, AI agents, automation and distributed systems.

  • A small, highly capable team that values autonomy, collaboration and engineering quality.

  • The opportunity to experiment with emerging AI technologies and bring new ideas into production.

  • Competitive compensation and the chance to make a meaningful impact.

The Opportunity

This role is suited to an engineer who wants to do more than integrate an AI chatbot into an existing application.

You'll help build products where AI is central to how the software works, enabling intelligent systems to understand context, coordinate actions and complete meaningful tasks on behalf of users.

If you're excited about building with AI, enjoy solving difficult engineering problems and want the freedom to take real ownership, we'd love to hear from you.

Consortia is a specialist recruitment agency working across Engineering, Product, Data and UX. If this opportunity isn't quite right but you're open to exploring others, we'd still welcome a conversation.


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