Senior Product Engineer

Senior Product Engineer

Full-Time 140000 - 140000 £ / year (est.) Home office (partial)
Harnham - Data & Analytics Recruitment Careers

At a Glance

  • Tasks: Lead product development for an innovative AI platform and shape its future.
  • Company: Exciting early-stage AI startup with a focus on behavioural intelligence.
  • Benefits: Competitive salary up to £140,000 plus equity and growth opportunities.
  • Other info: Work in a dynamic startup environment with significant career advancement potential.
  • Why this job: Join a small team making a real impact in the financial services sector.
  • Qualifications: Strong experience in product engineering and building LLM-based products.

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

Looking to make a genuine impact at an early-stage AI startup? This is an opportunity to join a well-funded business as one of its first engineering hires, taking ownership of a product already being tested by major enterprise customers.

The Company

This AI startup is building a behavioural intelligence platform that helps financial services organisations better understand customer behaviour and decision-making. Backed by significant early-stage investment, they are working with large enterprise clients and moving from proof-of-concept projects towards commercial deployment. With a small, highly capable team, they are focused on building scalable AI products with real-world impact.

The Role

You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage. Responsibilities include:

  • Building LLM-enabled products and features used by enterprise customers
  • Designing and developing backend services, APIs, and platform capabilities
  • Owning RAG workflows and AI application architecture
  • Managing evaluation frameworks, testing, monitoring, and quality standards
  • Optimising LLM performance, scalability, and cost efficiency
  • Working closely with product leadership and customers to shape the roadmap
  • Establishing engineering best practices across development and deployment

Your Skills & Experience

  • Strong experience as a Product Software Engineer
  • Proven track record building and shipping an LLM-based product from 0 to 1
  • Experience owning architecture, product decisions, and implementation
  • Strong backend engineering experience with API-first products
  • Hands-on experience with RAG and production AI systems
  • Understanding of token usage, model evaluation, and cost optimisation
  • Ability to operate autonomously in a startup environment
  • Strong communication and stakeholder management skills

Desirable:

  • Experience with Node.js, TypeScript, and React
  • Computer Science background
  • Experience within AI startups, technology companies, or financial services

What They Offer

Salary up to £140,000

Senior Product Engineer employer: Harnham - Data & Analytics Recruitment Careers

As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.

Harnham - Data & Analytics Recruitment Careers

Contact Details:

Harnham - Data & Analytics Recruitment Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Harnham - Data & Analytics Recruitment Careers or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Harnham - Data & Analytics Recruitment Careers.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Harnham - Data & Analytics Recruitment Careers.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harnham - Data & Analytics Recruitment Careers that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Product Engineer

Product Development
LLM-enabled Product Development
Backend Engineering
API Development
RAG Workflows
AI Application Architecture
Evaluation Frameworks

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 Careers.

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 Careers 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 Careers

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 Careers 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.