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AI Product Engineer

TN United Kingdom

Manchester

Remote

GBP 40,000 - 70,000

Full time

Yesterday
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Job summary

A leading technology company is seeking an AI Product Engineer to join a dynamic team focused on developing innovative AI-powered products. This hands-on role involves rapid prototyping, coding in Python and TypeScript, and collaborating closely with stakeholders to bring ideas to life. The position offers flexibility to work from anywhere in the UK, fostering a culture of collaboration and fast learning, ideal for those passionate about AI and coding.

Qualifications

  • Track record of side projects or prototypes.
  • Enthusiasm for coding and exploring AI capabilities.
  • Ability to own problems end-to-end.

Responsibilities

  • Prototyping and launching AI features using OpenAI and Google models.
  • Building with Python and TypeScript in a Next.js/AWS Amplify stack.
  • Collaborating with stakeholders to shape products from idea to production.

Skills

Python
TypeScript
APIs
Structured Data

Job description

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Our AI Product Engineer will join a small, fast-moving team building the next generation of AI-powered products. This is a hands-on role for engineers who love solving hard problems through rapid prototyping, and who thrive in ambiguity and speed. We’re not about polishing pitch decks — we’re about writing code, shipping fast, and learning as we go.

About the Team

This role will be part of a team that is flat-structured, best-idea-wins culture and where engineers shape product direction. We have a feel of a startup, but the luxury of resources and reach of something much larger. Whilst our offices and extend teams are based in Manchester and London, we also offer flexibility to work from anywhere (UK) for this role — though we’re Europe-focused and love getting together for hackathons and solving problems face-to-face when it matters (and it’s genuinely fun).

About the role
  • Prototyping and launching real AI features using OpenAI, Anthropic, and Google models.
  • Building with Python and TypeScript in a Next.js/AWS Amplify stack.
  • Designing workflows with AWS Step Functions and Lambda.
  • Integrating and transforming data in common formats like JSON, XML, and CSV.
  • Working closely with stakeholders to shape products from idea to production. • Debugging complex issues in modern LLM stacks. • Collaborating in an environment that values fast learning, iteration, and honest feedback.
What we're looking for & more
  • A track record of side projects or prototypes — ideally coded in Cursor or Windsurf.
  • An enthusiasm and passion for coding and exploring AI capabilities just for the fun of it.
  • Fluent in Python and TypeScript, and think in APIs and structured data.
  • A sense of achievement to own problems end-to-end, with the ability to recognize to ask for help where needed.
  • You’re energised by collaboration and talking to stakeholders to understand real-world problems.
Sound like you? Great! Whilst a CV tells us part of your story, we would love to see a short summary about you with any relevant links to Loom - following this we will reach out to you for a teams interview if suitable.

Whilst this position can be done from anywhere in the UK,you must already hold the relevant right to work in the UK as we unfortunately can't provide sponsorship for the role.

Great talent comes in many forms, and we’re committed to building a diverse and inclusive team. Whilst a number of our roles do require specific qualifications and experience, and industry knowledge, we also value potential, unique perspectives, and transferable skills. If you’re excited about this opportunity but don’t meet every requirement, we’d still love to hear from you.

We occasionally collaborate with recruitment agencies to fill niche or specialist roles. However, we do not accept agency terms or pay fees for speculative CVs submitted directly to our hiring managers or outside our Applicant Tracking System.

If you are a recruitment agency interested in partnering with us for candidate supply, please reach out to [emailprotected]

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