Staff AI Engineer in London

Staff AI Engineer in London

London Full-Time 70000 - 90000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain AI features that delight over 70 million users.
  • Company: Join a global, innovative team at Linktree with a family-friendly culture.
  • Benefits: Enjoy flexible work options, generous time off, and an annual wellbeing allowance.
  • Other info: Inclusive workplace promoting diverse backgrounds and unique contributions.
  • Why this job: Make a real impact in AI while working with cutting-edge technologies.
  • Qualifications: 6+ years in engineering with expertise in AI and data-intensive systems.

The predicted salary is between 70000 - 90000 ÂŁ 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.

Where and How We Work

We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family‑friendly and Zoom‑casual where kids, pets, and delivery drivers are welcome.

How we’ll help you thrive

Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you:

  • An annual wellbeing allowance to use on things like (but not limited to) 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: Linktree Pty Ltd

At Linktree, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our flexible work culture allows you to choose between fully remote or hybrid setups, ensuring a balance that suits your lifestyle while collaborating with a diverse global team. With generous benefits including an annual wellbeing allowance, employee stock options, and a commitment to professional growth, we empower our Staff AI Engineers to thrive and make meaningful contributions to our 70+ million users.
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Contact Detail:

Linktree Pty Ltd Recruiting 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, and any cool features you've built. This is your chance to demonstrate what you can do beyond just a CV.

✨Tip Number 3

Prepare for interviews by practising common technical questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Linktree. Don’t miss out!

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 (e.g., Airflow, MLflow, Vertex AI)
Data Engineering Practices (ETL, batch/streaming pipelines)
Cloud Infrastructure (AWS)
Containerization
Technical Design Reviews
Mentoring
Prototyping and Experimentation
Communication Skills
Collaboration with Product and Engineering Teams

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI! Share specific projects or experiences where you’ve built AI applications or worked with data pipelines. We love to see how you’ve made a real impact in your previous roles.

Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with our job description. Mention your familiarity with modern AI techniques and tools, as well as any relevant engineering practices you've mastered. This helps us see how you fit into our team!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to understand your qualifications and what you can bring to Linktree.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!

How to prepare for a job interview at Linktree Pty Ltd

✨Know Your AI Stuff

Make sure you brush up on the latest AI techniques and tools mentioned in the job description, like prompt engineering and MLOps frameworks. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Think about how you translated business problems into AI solutions and be ready to share examples of your work on data pipelines and model integration.

✨Demonstrate Your Team Spirit

Since collaboration is key, be prepared to discuss how you've worked with product and engineering teams in the past. Highlight any mentoring experiences you've had, especially in guiding others on AI best practices and production-grade patterns.

✨Ask Insightful Questions

Come armed with questions that show your interest in the company and its culture. Inquire about their approach to AI innovation, team dynamics, and how they support continuous learning. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.

Staff AI Engineer in London
Linktree Pty Ltd
Location: London

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