At a Glance
- Tasks: Build and maintain AI features that delight over 70 million users.
- Company: Join Linktree, a global leader in innovative tech solutions.
- Benefits: Enjoy flexible work options, generous time off, and an annual wellbeing allowance.
- Other info: Inclusive culture that values diverse backgrounds and experiences.
- Why this job: Make a real impact with cutting-edge AI technologies in a supportive environment.
- Qualifications: 6+ years in engineering with a focus on data-intensive systems and modern AI techniques.
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 containerisation.
- You have experience with shortening “build‑measure‑learn” by means of prototyping and experimentation to iterate quickly and build software users love.
How We’ll Help You Thrive
- 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.
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.
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! 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
Contact Detail:
Linktree 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 AI and engineering space, especially those at Linktree. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This is your chance to demonstrate your experience with data pipelines and AI tools, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with prompt engineering and MLOps tools. We want to see how you tackle real-world problems!
✨Tip Number 4
Don't forget to 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 awesome team at Linktree.
We think you need these skills to ace Staff AI Engineer in London
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 hear about what excites you in the field!
Tailor Your Application: Make sure to customise your application to highlight how your skills align with the role. Mention your experience with modern AI techniques and tools that we use, like prompt engineering or MLOps. 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 past experiences and achievements. We appreciate a well-structured application that makes it easy for us to understand your journey.
Apply Through Our Website: Don’t forget to apply 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 you’re keen on joining our team at Linktree!
How to prepare for a job interview at Linktree
✨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 give you a solid edge. Be ready to discuss how you've applied these in your past projects.
✨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 designed data pipelines or integrated models into production systems. This will demonstrate your ability to own the full lifecycle of AI applications.
✨Emphasise Collaboration
Since this role involves partnering with Product and Engineering teams, be ready to talk about your experience working cross-functionally. Highlight instances where you’ve collaborated to drive a project from concept to production, showcasing your teamwork and communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s AI initiatives and culture. Inquire about their current challenges in AI development or how they foster innovation within their teams. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.