At a Glance
- Tasks: Drive AI adoption, improve workflows, and enhance developer productivity across teams.
- 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.
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 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.
AI Platform Engineer — Scale AI Across Teams (Remote UK) in London employer: Bluefish Labs
As a remote employer in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive AI-first initiatives across the organisation. With a strong focus on professional growth, we offer ample opportunities for mentorship and skill development, ensuring that our team members can thrive in their careers while contributing to meaningful projects that enhance productivity and operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer — Scale AI Across Teams (Remote UK) 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 dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its AI initiatives. We want you to show off your knowledge and passion for AI, so practice answering common questions and think about how your skills can drive their projects forward.
✨Tip Number 3
Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation. It’s a great way to keep your name fresh in their minds and shows you’re genuinely interested in the role.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and we can’t wait to see how you can contribute to our AI journey!
We think you need these skills to ace AI Platform Engineer — Scale AI Across Teams (Remote UK) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the 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 across teams. Share specific examples of past projects where you improved developer productivity or integrated AI into workflows, as this will help us see your potential impact.
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 a common goal, as we value collaboration 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 AI technologies and trends. Be ready to discuss how you've implemented AI in past projects, especially in ways that improved developer productivity or streamlined workflows.
✨Showcase Collaboration Skills
This role is all about working with different teams, so be prepared to share examples of how you've successfully collaborated in cross-functional environments. Highlight your ability to influence and align teams around practical solutions.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical expertise, especially around 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 driving a culture of experimentation and continuous learning, share instances where you've embraced ambiguity and adapted to change. Show that you're not just a tech whiz but also someone who thrives in evolving environments.
