At a Glance
- Tasks: Build and maintain AI features that enhance user experience for over 70 million users.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with mentorship opportunities and a focus on continuous learning.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a dynamic environment.
- Qualifications: 6+ years in engineering with expertise in AI and data-intensive systems.
The predicted salary is between 80000 - 100000 £ 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.
Staff AI Engineer employer: Gravity Engineering Services Pvt Ltd.
At Linktree, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of a vibrant tech community. Our work culture is built on inclusivity and continuous learning, offering employees ample opportunities for professional growth and development while working on cutting-edge AI technologies that impact millions. With a focus on employee well-being and a commitment to maintaining a healthy work-life balance, Linktree stands out as a rewarding place to advance your career as a Staff AI Engineer.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment 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 AI and engineering space, attend meetups, and connect 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 hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI knowledge and coding skills. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want to see how you think and solve 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 team at Linktree and contributing to our mission.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Staff AI Engineer role. Highlight your experience with AI techniques, data pipelines, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific projects or technologies that excite you.
Showcase Your Projects:If you've built any AI applications or worked on relevant projects, don’t hold back! Include links or descriptions of your work in your application. We love seeing real examples of what you can do and how you approach problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your AI Stuff
Make sure you brush up on the latest AI techniques and tools mentioned in the job description. Familiarise yourself with prompt engineering, fine-tuning, and the specific frameworks like Gemini and Claude. Being able to discuss these confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Projects
Prepare to talk about your past projects where you've built and maintained data-intensive systems. Highlight any AI features you've developed and how they impacted user experience. Real examples will help you stand out and demonstrate your hands-on experience.
✨Understand the Business Side
Linktree is looking for someone who can translate business problems into AI solutions. Think about how you've partnered with product teams in the past. Be ready to discuss how you’ve driven roadmaps from problem definition to production, showcasing your ability to align technical work with business goals.
✨Ask Smart Questions
Prepare insightful questions about their current AI projects and challenges. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your knowledge and curiosity about the field.
