At a Glance
- Tasks: Design and build AI workflows that enhance product capabilities.
- Company: Join a leading SaaS business revolutionising design systems.
- Benefits: Competitive salary, equity options, and remote work flexibility.
- Other info: Be part of a dynamic team with significant growth potential.
- Why this job: Shape the future of AI in a product used by global enterprises.
- Qualifications: Experience with AI systems, cloud infrastructure, and software engineering.
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) in Manchester employer: Harnham
Join a dynamic SaaS company that prioritises innovation and employee growth, offering a collaborative work culture where your contributions directly impact the development of cutting-edge AI systems. With a competitive salary of up to £130,000 plus equity, this remote role provides you with the flexibility to work from anywhere in the UK while being part of a product-led organisation that values thoughtful engineering and long-term quality. Embrace the opportunity to shape the future of design systems used by global enterprises and enhance your career in a supportive environment focused on meaningful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer (198728) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI-driven systems. This is your chance to demonstrate how you can contribute to their platform.
✨Tip Number 3
Get ready for the interview! Research common questions for AI Platform Engineers and practice your answers. Be ready to discuss your experience with LLM frameworks and cloud infrastructure.
✨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 the role and the company.
We think you need these skills to ace Senior AI Platform Engineer (198728) in Manchester
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. Be sure to mention specific examples of your work that relate to the role.
Showcase Your Technical Skills:Since this role involves a lot of technical expertise, don’t shy away from detailing your experience with LLM frameworks, cloud infrastructure, and software engineering. We love seeing concrete examples of your work and the impact it had!
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 team!
How to prepare for a job interview at Harnham
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of LLM frameworks like LangChain or LangGraph. Be ready to discuss how you've used these in past projects and how they can be applied to the role. This shows you're not just familiar with the tech, but that you can leverage it effectively.
✨Showcase Your Engineering Mindset
Prepare examples of impactful platform-level engineering work you've contributed to. Highlight your experience with backend systems and modern frontend frameworks like React. This will demonstrate your solid software engineering background and your ability to think critically about system design.
✨Understand Cloud Infrastructure
Familiarise yourself with cloud infrastructure, particularly AWS. Be ready to discuss architectural decisions you've made regarding cost optimisation and scalability. This will show that you have a practical understanding of how to build efficient systems in a cloud environment.
✨Emphasise Collaboration
Since the role involves working closely with product and design teams, prepare to talk about your collaborative experiences. Share specific instances where you’ve successfully embedded AI capabilities across teams, ensuring that features deliver real user value. This will highlight your product-focused mindset.
