At a Glance
- Tasks: Design and build AI workflows that enhance a complex product platform.
- Company: Join a leading SaaS business revolutionising design systems for global enterprises.
- Benefits: Competitive salary up to £130,000, equity, and remote work flexibility.
- Other info: Opportunity for clear technical influence and career growth in a dynamic team.
- Why this job: Shape the future of AI in a product used by top organisations worldwide.
- Qualifications: Experience with AI-driven systems, cloud infrastructure, and strong software engineering skills.
The predicted salary is between 130000 - 130000 £ per year.
This is a rare opportunity to join a growing SaaS business at a pivotal point in its technical evolution. They are investing heavily in AI and platform capability, looking for someone who can take ownership of agentic AI systems and shape how intelligent workflows are embedded across a complex product used by large, design-led organisations.
The Company
They are a well-established SaaS business building a platform that helps teams design, govern and scale design systems more effectively. Their software is used by global enterprises working with complex, large-scale systems. Operating as a product-led organisation, they work in small, autonomous squads and place a strong emphasis on thoughtful engineering, usability and long-term product quality.
The Role
As a Senior AI Platform Engineer, you will act as the AI and platform specialist across the engineering organisation, working closely with product, design and engineering teams. Your responsibilities will include:
- Designing and building agentic AI workflows that integrate deeply into an existing product platform.
- Developing systems that allow design changes to propagate intelligently across tools and documentation.
- Working across multiple squads to embed AI capability rather than isolating it in a single team.
- Making architectural decisions around cloud infrastructure, cost optimisation and scalability.
- Collaborating closely with product and design to ensure AI features deliver real user value.
Your Skills and Experience
You will bring:
- Strong commercial experience building AI-driven systems using LLM frameworks such as LangChain or LangGraph.
- Proven experience designing or contributing to impactful platform-level engineering work.
- A solid software engineering background, with exposure to backend systems and modern frontend frameworks such as React.
- Experience working with cloud infrastructure, ideally AWS, and an understanding of system design and cost efficiency.
- A product-focused mindset, with evidence of seeing features through from concept to production and iteration.
What They Offer
The chance to define AI capability in a product used by some of the world’s largest organisations. Clear technical influence and ownership in a growing engineering team.
How to Apply
If you are interested in building agentic AI systems within a product-focused SaaS environment, apply now to learn more about this opportunity.
Senior AI Platform Engineer (198728) employer: Harnham
Join a dynamic SaaS company that prioritises innovation and employee growth, offering a unique opportunity to shape AI capabilities within a product used by leading global enterprises. With a strong emphasis on thoughtful engineering and collaboration across autonomous squads, you will thrive in a culture that values your expertise and encourages meaningful contributions. Enjoy competitive compensation, equity options, and the chance to make a significant impact in a rapidly evolving technical landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer (198728)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference when you're trying to land that Senior AI Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI-driven projects. This is your chance to demonstrate your expertise with LLM frameworks and cloud infrastructure, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of agentic AI systems and how they integrate into existing platforms. Be ready to discuss your past experiences and how they align with the company's goals and product-focused mindset.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team and contributing to the exciting evolution of AI capabilities.
We think you need these skills to ace Senior AI Platform Engineer (198728)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your experience with AI-driven systems 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 genuine and let your personality come through – we love that!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building agentic AI workflows or working with cloud infrastructure, we want to see what you've done and how it relates to the role.
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI-driven systems, especially LLM frameworks like LangChain or LangGraph. Be ready to discuss your past experiences and how you've built impactful AI workflows that integrate with existing platforms.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering background, particularly in backend systems and modern frontend frameworks like React. Have examples ready that demonstrate your ability to make architectural decisions and optimise for cost and scalability.
✨Understand the Product Mindset
Since this role is product-focused, think about how you've seen features through from concept to production. Be prepared to share specific instances where your contributions have added real user value, especially in a SaaS environment.
✨Collaboration is Key
This position involves working closely with product, design, and engineering teams. Think of examples where you've successfully collaborated across different squads to embed AI capabilities. Highlight your teamwork skills and how you ensure alignment with various stakeholders.
