Senior AI Product Engineer in London

Senior AI Product Engineer in London

London Full-Time 140000 - 140000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of a groundbreaking AI platform that transforms customer engagement.
  • Company: Join an innovative early-stage AI startup with a focus on behavioural intelligence.
  • Benefits: Earn up to £140,000 with great perks and a hybrid work model.
  • Other info: Opportunity for significant impact and career growth in a dynamic environment.
  • Why this job: Be a key player in shaping cutting-edge AI products from the ground up.
  • Qualifications: Experience in full-stack software engineering and building LLM-enabled products.

The predicted salary is between 140000 - 140000 £ per year.

Job Description

Senior AI Product Engineer up to £140,000
London (Hybrid)This is a fantastic opportunity to join an early-stage AI startup as one of its first engineering hires, taking ownership of a cutting-edge behavioural AI platform that is transforming how companies understand and engage with their customers.

THE COMPANY: Our client is developing technology that helps their clients better understand not just what customers do, but why they make decisions.

Their platform combines behavioural science and AI to provide actionable customer intelligence, enabling organisations to improve marketing, communications, customer support, and engagement strategies.

THE ROLE: You will become the first senior individual contributor engineering hire, working closely with the VP of Product Engineering to build and scale the product from the ground up.

Key responsibilities include

  • Building and shipping AI-powered products end-to-end using LLM technologies.
  • Owning and scaling the retrieval-augmented generation (RAG) and AI application layer.
  • Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost optimisation.
  • Working across the stack, including backend services, APIs, cloud infrastructure, and selective frontend development.
  • Establishing engineering best practices around testing, delivery, architecture, and code quality.

YOUR SKILLS AND EXPERIENCE: You will bring strong capability in

  • Building and scaling production LLM-enabled products from 0-to-1.
  • Full-stack software engineering with strong backend expertise.
  • Product ownership, architecture, and independent decision-making.
  • Modern technologies including Type Script, Node. js, React, Postgre SQL, AWS, and API-first architectures.
  • LLM evaluation, token optimisation, cost management, monitoring, and deployment best practices.

THE BENEFITS: You will receive a salary of up to £140,000 depending on experience.

HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Senior AI Product Engineer in London employer: Harnham - Data & Analytics Recruitment

Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.

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Contact Details:

Harnham - Data & Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Product Engineer in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior AI Product Engineer in London

AI Product Development
LLM Technologies
Full-Stack Software Engineering
Backend Expertise
Product Ownership
Architecture Design
TypeScript

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harnham - Data & Analytics Recruitment.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham - Data & Analytics Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Harnham - Data & Analytics Recruitment

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harnham - Data & Analytics Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.