At a Glance
- Tasks: Drive AI adoption, improve developer productivity, and streamline workflows 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 60000 - 80000 £ 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 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) employer: Bluefish Labs
As a remote employer in the UK, we pride ourselves on fostering a culture of innovation and collaboration, where your contributions as an AI Platform Engineer will directly impact our AI-first initiatives. We offer a supportive environment that encourages continuous learning and experimentation, alongside opportunities for professional growth and mentorship. Join us to be part of a dynamic team that values your expertise and empowers you to drive meaningful change across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer — Scale AI Across Teams (Remote UK)
✨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
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 sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and software engineering. We recommend doing mock interviews with friends or using online platforms to boost 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 AI Platform Engineer — Scale AI Across Teams (Remote UK)
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 how you've improved developer productivity or streamlined workflows in previous roles.
Showcase Collaboration Skills:Since this role is highly cross-functional, emphasise your ability to work with different teams. Mention any past experiences where you’ve successfully influenced others or aligned teams around a common goal, as this is key for us.
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 us you’re keen on joining our team!
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. This will show your potential employer that you're not just familiar with AI but can also apply it effectively.
✨Showcase Collaboration Skills
Since this role is highly cross-functional, be prepared to share examples of how you've worked with different teams in the past. Highlight your ability to influence and align teams around practical solutions. Use specific instances where your collaboration led to measurable outcomes.
✨Prepare for Technical Questions
Expect technical questions related to software engineering and AI integration. Brush up on system design principles and be ready to discuss how you would approach integrating AI into existing workflows. Practising coding problems in languages like TypeScript or Python could also give you an edge.
✨Demonstrate a Growth Mindset
This role involves experimentation and continuous learning, so be ready to talk about how you've embraced new technologies and adapted to changes in fast-paced environments. Share examples of how you've learned from failures or challenges in previous roles, showing that you're committed to responsible AI adoption.
