At a Glance
- Tasks: Architect and evolve our Internal AI Engineering Platform to enhance developer productivity.
- Company: Join a forward-thinking tech company focused on AI innovation and developer experience.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Make a real impact by shaping the future of AI development tools.
- Qualifications: Experience in AI systems, AWS, and a passion for enhancing developer workflows.
The predicted salary is between 60000 - 80000 £ per year.
This role is based in the UK and requires an existing right to work in the UK.
- Production-Grade AI Implementation: Experience building and running production systems with a deep curiosity about the 'LLM-ops' lifecycle and integrated agentic workflows.
- Systems Thinker: Solid foundational knowledge of distributed systems and how to integrate third-party AI APIs (like Claude or OpenAI) without compromising reliability.
- Infrastructure as Code & Beyond: Hands-on experience with AWS in production, treating AI prompts and MCP configurations with the same version-control rigor as infrastructure.
- The DevEx Mindset: A passion for developer productivity, building experiences that make an engineer's day-to-day life easier and more creative.
- Security & Governance First: Ability to design approval processes and security guardrails that protect the business from risks like data leakage or prompt injection.
- (Desirable) Data-Informed Approach: You enjoy defining and automating metrics, such as tracking AI-generated code volume, to prove the value of the tools you deploy.
- (Desirable) Collaborative Communicator: Ability to translate complex AI concepts into clear guides and onboarding docs for the wider engineering community.
- (Desirable) Relentless Curiosity: A motivation to continuously trial new tools in a weekly-changing landscape and the agility to pivot when better solutions emerge.
What the job involves:
- Team: Developer Experience
- Reporting To: Head of Engineering
- In this role, you’ll play a pivotal role in architecting and evolving our Internal AI Engineering Platform. You'll be building the infrastructure, from Model Context Protocol (MCP) servers to shared workflows, that help our software teams move faster while keeping systems reliable and secure.
- Your work will directly influence how Kaluza reduces defects, scales productivity, and sets a high standard for AI-enabled development.
- AI Tooling Orchestration: Lead the trials and deployment of next-generation engineering tools, including Claude Code, Kiro, and Opencode, ensuring they integrate seamlessly into the developer inner loop.
- Infrastructure & Connectivity: Design and maintain our MCP (Model Context Protocol) registry, establishing a secure and scalable process for approving and deploying new servers and tools.
- Shared Workflows: Develop and maintain shared services and standards that help standardize coding practices and automate repetitive architectural tasks across teams to facilitate AI workflows.
- Spec-Driven Development: Build and evangelize 'Build Your Own' AI solutions and low-code automations that support spec-driven development, reducing the gap between requirements and production code.
- Enablement & Governance: Author high-quality onboarding documentation, security guidelines, and 'Golden Path' examples that help engineers leverage AI safely and effectively.
- Performance Analytics: Architect and automate the tracking of AI Impact Metrics, specifically focusing on the volume of AI-generated contributions within PRs and their correlation to code quality and velocity.
Senior AI Platform Engineer, DevEx & Governance in Bristol employer: Kaluza
Kaluza is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior AI Platform Engineer. With a strong focus on developer experience and productivity, employees benefit from a supportive environment that encourages continuous learning and growth, alongside competitive compensation and comprehensive benefits. Located in the UK, Kaluza offers unique opportunities to work on cutting-edge AI technologies while ensuring a secure and reliable infrastructure, empowering engineers to make a meaningful impact in the rapidly evolving tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer, DevEx & Governance in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that job applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI platforms. 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 hearing from passionate candidates like you!
We think you need these skills to ace Senior AI Platform Engineer, DevEx & Governance in Bristol
Some tips for your application 🫡
Show Your Passion for AI:Let us see your enthusiasm for AI and developer productivity in your application. Share any personal projects or experiences that highlight your curiosity about the LLM-ops lifecycle and how you’ve integrated AI into your work.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience with distributed systems and AWS, and don’t forget to mention how you ensure reliability when integrating third-party AI APIs.
Highlight Your Collaborative Skills:We love a good communicator! Make sure to showcase your ability to translate complex AI concepts into easy-to-understand guides. This will show us that you can help the wider engineering community get on board with new tools and processes.
Tailor Your Application:Take the time to tailor your application to our job description. Mention specific skills and experiences that align with what we’re looking for, especially around security governance and performance analytics. And remember, apply through our website!
How to prepare for a job interview at Kaluza
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI tools and concepts, especially around LLM-ops and integrated workflows. Brush up on your experience with production-grade AI systems and be ready to discuss specific projects where you’ve implemented these technologies.
✨Showcase Your Systems Thinking
Prepare to demonstrate your understanding of distributed systems and how you’ve successfully integrated third-party AI APIs. Think of examples where you maintained reliability while implementing new solutions, as this will show your ability to think critically about system architecture.
✨Highlight Your DevEx Passion
Be ready to talk about how you’ve improved developer productivity in past roles. Share specific instances where you’ve built tools or processes that made engineers' lives easier, and don’t forget to mention any metrics you tracked to prove their effectiveness.
✨Communicate Clearly and Collaboratively
Practice explaining complex AI concepts in simple terms. You might be asked to describe how you would create onboarding documentation or security guidelines, so think about how you can make these topics accessible to a wider audience within the engineering community.
