Staff AI Engineer in London

Staff AI Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Visible Hands

At a Glance

  • Tasks: Build and maintain AI features that delight over 70 million users.
  • Company: Join Linktree, a leader in innovative tech with a focus on inclusivity.
  • Benefits: Enjoy a wellbeing allowance, generous time off, and stock options.
  • Other info: Inclusive workplace celebrating diverse backgrounds and experiences.
  • Why this job: Make a real impact in AI while working with cutting-edge technologies.
  • Qualifications: 6+ years in engineering with a focus on data-intensive systems.

The predicted salary is between 70000 - 90000 £ per year.

We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state‑of‑the‑art techniques and modern technologies. You’ll own the full lifecycle of AI applications: building data pipelines, prompt & feature engineering, integrating models into high throughput, low latency services, and deploying production‑ready, AI‑powered features that delight our 70+ million users.

What You’ll Own

  • Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces — including personalisation, recommendations, and creator analytics.
  • Partner with Product and Engineering to translate business problems into solutions, driving the roadmap from problem definition through to production.
  • Design and own scalable data pipelines for feature engineering, model training, evaluation, and real‑time inference.
  • Establish and uphold engineering best practices for AI: evaluation design, prompt management & versioning, testing & monitoring.
  • Lead technical design reviews and mentor engineers on AI foundations and production‑grade AI patterns.
  • Evaluate and adopt new AI techniques, frameworks, and tooling to keep Linktree at the frontier of applied AI.

Who We’re Looking For

  • 6+ years engineering experience with experience in building and maintaining data‑intensive, production systems.
  • Familiarity with modern AI engineering techniques such as prompt‑engineering, fine‑tuning, eval loops, and technologies such as Gemini, Claude and OpenAI APIs.
  • Hands‑on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar).
  • Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring.
  • Familiarity with cloud infrastructure (we use AWS) and containerization.
  • You have experience with shortening “build‑measure‑learn” by means of prototyping and experimentation to iterate quickly and build software users love.

P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!

Benefits

  • An annual wellbeing allowance to use on things such as fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set‑up – the choice is yours!
  • Employer contribution towards your retirement.
  • Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
  • Employee stock option program – we want each and every employee to share in the company’s success.

At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age or other lived experience. If you require accommodations to fully participate in our opportunities, please don’t hesitate to reach us at – your needs are important to us.

Staff AI Engineer in London employer: Visible Hands

At Linktree, we pride ourselves on being an exceptional employer, offering a vibrant work culture in the heart of London that champions innovation and inclusivity. As a Staff AI Engineer, you'll enjoy generous benefits including a wellbeing allowance, retirement contributions, and an employee stock option programme, all while working alongside a diverse team dedicated to creating impactful AI solutions for over 70 million users. We are committed to fostering your professional growth through mentorship and opportunities to lead cutting-edge projects, ensuring you thrive in your career with us.

Visible Hands

Contact Details:

Visible Hands Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, data pipelines, or any cool features you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in engineering roles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Linktree.

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

AI Engineering
Data Pipeline Design
Prompt Engineering
Feature Engineering
Model Training
Real-Time Inference
MLOps Tools

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it drives you. Share specific examples of projects or experiences that highlight your love for building AI-powered features that users adore.

Tailor Your Application:Make sure to customise your application to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects or technologies you've worked with.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Visible Hands

Know Your AI Stuff

Make sure you brush up on the latest AI techniques and tools mentioned in the job description. Familiarity with prompt engineering, fine-tuning, and MLOps tools like Airflow or MLflow will show that you're not just a candidate, but a passionate expert ready to dive into the role.

Showcase Your Problem-Solving Skills

Prepare examples of how you've translated complex business problems into effective AI solutions. Think about specific projects where you built data pipelines or deployed AI features that made a real impact. This will demonstrate your ability to own the full lifecycle of AI applications.

Engage in Technical Discussions

Be ready to lead discussions around technical design reviews. Practice explaining your thought process clearly and confidently, as this role involves mentoring others. Showing that you can communicate complex ideas effectively will set you apart from other candidates.

Emphasise Your Collaborative Spirit

Since this role requires partnering with Product and Engineering teams, highlight your experience working collaboratively. Share stories that illustrate your ability to work well with others, drive roadmaps, and contribute to a positive team environment. This will align with their focus on inclusion and teamwork.