AI Engineer London / Manchester

AI Engineer London / Manchester

Full-Time 59400 - 72600 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and improve AI pipelines that power Harold's intelligence.
  • Company: Join a cutting-edge AI company transforming property tech.
  • Benefits: Equity options, remote flexibility, and direct collaboration with the CTO.
  • Other info: Enjoy responsibility from day one in a dynamic environment.
  • Why this job: Make a real impact with your AI skills on innovative products.
  • Qualifications: Experience in building AI-powered products and a passion for LLMs.

The predicted salary is between 59400 - 72600 £ per year.

Harold runs on AI. Not as a gimmick but as the actual product. Every appraisal, every verdict, every insight Harold surfaces is powered by an AI pipeline that we are building in real time. We need someone who lives and breathes this stuff to help us build it properly.

You will work directly with the CTO on the AI layer that makes Harold genuinely intelligent: the models, the pipelines, the prompts, the evals, the infrastructure that turns raw deal data into the smartest analysis in the room.

What you’ll be doing:

  • Design, build, and improve the AI pipelines that power Harold's core intelligence
  • Own prompt engineering, model selection, evaluation, and continuous improvement
  • Build agentic workflows that make Harold proactively useful, not just reactive
  • Integrate new models, APIs, and tools as the landscape moves, and it moves fast
  • Work end to end from the model layer to the product surface where users see the output

About you:

  • You are obsessed with what LLMs can actually do and you push them further than most people think possible
  • You have built AI-powered products or pipelines before, not just called the OpenAI API once
  • You follow the frontier closely (new models, new techniques, new papers) and you apply it fast
  • You write clean code but you know that shipping beats perfection every time
  • You are as comfortable in a system prompt as you are in a codebase
  • You want to work somewhere your AI work actually matters and reaches real users

Equity and token allocation: be part of what Harold becomes

Direct collaboration with the CTO on the most interesting AI problems in property tech

Access to the full model stack: Anthropic, OpenAI, whatever the best tool is

Remote-flexible with a London base

Responsibility and ownership from day one. No junior queues, no PR approval chains

A product that enterprise clients actually depend on

AI Engineer London / Manchester employer: Harold

Join our welcoming family environment in Frinton-on-Sea, where we value reliability and dedication. As a Housekeeper/Nanny, you'll enjoy flexible working hours, competitive pay, and the opportunity to grow within a supportive household. We prioritise a positive work culture that fosters personal connections and meaningful contributions to family life.

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Contact Details:

Harold Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer London / Manchester

✨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 Harold 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 Harold.

✨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 Harold.

✨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 Harold 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 AI Engineer London / Manchester

AI Pipeline Development
Prompt Engineering
Model Selection
Model Evaluation
Continuous Improvement
Integration of APIs and Tools
End-to-End Development

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 Harold.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harold 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 Harold

✨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 Harold 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.