Staff AI Engineer

Staff AI Engineer

Full-Time 70000 - 90000 ÂŁ / year (est.) 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 that values 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 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 talent@linktr.ee – your needs are important to us.

Staff AI Engineer 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

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, 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 hands-on experience with AI tools and frameworks, making you stand out.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data pipelines, prompt engineering, and any relevant AI techniques. Confidence is key!

✨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 being part of the Linktree family.

We think you need these skills to ace Staff AI Engineer

AI Engineering
Data Pipeline Design
Prompt Engineering
Feature Engineering
Model Training and Evaluation
Real-Time Inference
MLOps Tools (e.g., Airflow, MLflow, Vertex AI)
Cloud Infrastructure (AWS)
Containerization
Data Engineering Practices (ETL, batch/streaming pipelines)
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 features that made a difference. We love seeing candidates who are genuinely excited about the tech they work with.

Tailor Your Experience: Make sure to highlight your relevant experience in software engineering and data. Use examples that align with our job description, especially around building data pipelines and deploying AI features. This helps us see how you fit into our team!

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and focus on communicating your skills and experiences effectively.

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 gives you a chance to explore more about our culture and values!

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. Familiarity with prompt engineering, fine-tuning, and MLOps tools like Airflow or MLflow will show that you're not just a theoretical expert but someone who can hit the ground running.

✨Showcase Your Projects

Prepare to discuss specific projects where you've built and maintained data-intensive systems. Highlight your role in the full lifecycle of AI applications, from building data pipelines to deploying production-ready features. Real examples will make your experience tangible.

✨Understand Their Product

Dive deep into Linktree’s core products and think about how AI can enhance personalisation and recommendations. Being able to suggest innovative ideas during the interview will demonstrate your proactive thinking and genuine interest in their mission.

✨Ask Insightful Questions

Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current challenges in AI implementation or how they envision the future of their AI features. This shows that you’re not just looking for a job, but are genuinely interested in contributing to their success.

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