At a Glance
- Tasks: Lead AI initiatives to boost developer productivity and streamline workflows.
- Company: Join a forward-thinking tech company embracing AI innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and experimentation.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Experience in software engineering and AI integration is essential.
The predicted salary is between 70000 - 90000 £ per year.
About the Position
As a Staff AI Platform Engineer, you’ll play a pivotal role in shaping how AI is adopted and applied across our organization. You’ll be responsible for driving AI-first initiatives that improve developer productivity, streamline workflows, and unlock new product capabilities. This is a highly cross‑functional role focused on delivering real business outcomes.
We’re at an early stage in our AI journey. Teams are exploring different approaches, and there is strong curiosity and momentum across the organization. Your role will be to bring structure, standards, and clarity, helping teams use AI effectively and consistently while ensuring solutions scale across the business.
Reporting to the VP of Engineering, you’ll work closely with engineering, product, and leadership teams to identify high‑impact use cases, integrate AI into our software development lifecycle, and enable teams to build and ship faster. You’ll also help evaluate emerging technologies, including agentic capabilities, and guide how they can be applied to our products and internal workflows.
Your success will depend on collaboration, influence, and the ability to align teams around practical, measurable solutions. You’ll act as a trusted advisor across the organization, coaching engineers, defining standards, and helping teams adopt AI in a way that improves productivity and delivers meaningful results.
This role is remote in the UK.
What You’ll Be Doing
- Drive the adoption of AI across the organization by identifying and implementing high‑impact use cases that improve developer productivity and operational efficiency.
- Integrate AI tooling into the software development lifecycle, enabling faster delivery, improved code quality, and more efficient workflows.
- Define standards, guidelines, and best practices for how AI is used across teams to ensure consistency, scalability, and maintainability.
- Provide input into the product roadmap based on a deep understanding of evolving AI and agentic technologies, helping the team identify new capabilities and product opportunities.
- Work closely with teams to understand their workflows, gather requirements, and prioritize solutions that deliver measurable value.
- Establish metrics and feedback mechanisms to evaluate the effectiveness of AI initiatives, including developer productivity and operational impact.
- Coach and mentor engineers on how to effectively use AI tools and frameworks in their day-to-day work.
- Contribute to building a culture of experimentation, continuous learning, and responsible AI adoption across the organization.
Qualifications
- Strong background in software engineering, platform engineering, developer productivity, or similar roles focused on improving engineering workflows.
- Hands‑on experience designing and implementing AI‑powered applications, automation workflows, or developer tooling.
- Experience working in an AI‑first or AI‑enabled organization.
- Experience integrating AI tools or capabilities into real‑world engineering processes or products.
- Strong system design and architectural thinking, with the ability to balance short‑term experimentation with long‑term scalability.
- Experience working with modern programming languages such as TypeScript or Python.
- Experience working with cloud platforms and distributed systems.
- Demonstrated ability to gather requirements, prioritize use cases, and measure the impact of technical initiatives.
- Strong communication and collaboration skills, with the ability to influence teams and drive adoption across an organization.
- Experience working in fast‑paced, evolving environments where ambiguity and experimentation are part of the process.
Staff AI Platform Engineer in London employer: Bluefish Labs
As a Staff AI Platform Engineer at our innovative company, you'll be part of a dynamic and collaborative work culture that prioritises experimentation and continuous learning. We offer remote working flexibility within the UK, competitive benefits, and ample opportunities for professional growth as you lead AI initiatives that drive real business outcomes. Join us in shaping the future of AI adoption while enjoying a supportive environment that values your contributions and fosters your development.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Staff AI Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and coding prowess. This gives potential employers a taste of what you can do and how you can drive AI-first initiatives.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to AI and software engineering. We recommend practicing with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff AI Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff AI Platform Engineer role. Highlight your background in software engineering and any hands-on experience with AI tools, as this will show us you’re a great fit for the position.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how you can drive its adoption within our organisation. Share specific examples of past projects where you've improved developer productivity or integrated AI into workflows.
Showcase Collaboration Skills:Since this role is highly cross-functional, emphasise your ability to work with different teams. Mention any experiences where you’ve influenced others or helped align teams around practical solutions, as this is key to success at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all applicants efficiently. Plus, it’s super easy!
How to prepare for a job interview at Bluefish Labs
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss how you've implemented AI solutions in past roles, especially focusing on improving developer productivity and operational efficiency.
✨Showcase Collaboration Skills
This role is all about working with different teams, so be prepared to share examples of how you've successfully collaborated with engineering, product, and leadership teams. Highlight your ability to influence and align teams around practical solutions.
✨Prepare for Technical Questions
Expect questions that dive into your experience with software engineering and platform engineering. Be ready to discuss system design, architectural thinking, and how you've integrated AI tools into real-world processes.
✨Demonstrate a Growth Mindset
Since this position involves building a culture of experimentation and continuous learning, share instances where you've embraced ambiguity and adapted to evolving environments. Show that you're not just a techie but also a mentor who encourages others to learn and grow.
