Staff AI Engineer

Staff AI Engineer

Full-Time 70000 - 90000 ÂŁ / year (est.) Home office (partial)
L

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 a wellbeing allowance, generous time off, and stock options.
  • Other info: Inclusive culture that values diverse backgrounds and experiences.
  • Why this job: Make a real impact with cutting-edge AI technologies in a flexible work environment.
  • 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 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 talent@linktr.ee – your needs are important to us.

Staff AI Engineer employer: Linktree

At Linktree, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our flexible work culture allows you to thrive in a supportive environment, whether you choose to work remotely or in one of our vibrant offices across the globe. With generous benefits including an annual wellbeing allowance, employee stock options, and ample time off, we empower our team members to grow both personally and professionally while contributing to products that delight over 70 million users.
L

Contact Detail:

Linktree Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff AI Engineer

✨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 your expertise and passion for AI engineering.

✨Tip Number 3

Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when tackling problems, as this will help you stand out during technical interviews.

✨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

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 Processes
Cloud Infrastructure (AWS)
Containerisation
Technical Design Reviews
Mentoring
Prototyping
Experimentation

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 used modern techniques to create products that users adore.

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 tools like OpenAI APIs or MLOps frameworks, as this will show us you’re a great fit for the role!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experience and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.

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 us 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 instances where you’ve built data pipelines or integrated models into production systems. This will demonstrate your ability to own the full lifecycle of AI applications.

✨Engage with the Team

Since collaboration is key, be prepared to discuss how you’ve partnered with product and engineering teams in the past. Highlight your experience in leading technical design reviews and mentoring others, as this shows you can contribute to the team culture at Linktree.

✨Ask Insightful Questions

Come armed with questions that show your interest in the company’s AI initiatives and future direction. Inquire about their current challenges in AI deployment or how they evaluate new techniques. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>