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.
- 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 in AI development while shaping the future of engineering tools.
- Qualifications: Experience in AI systems, AWS, and a passion for enhancing developer experiences.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- 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.
We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.
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 Engineer (AI Developer Experience) in Bristol employer: Kaluza
Kaluza is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of AI development. With a strong emphasis on employee growth, we provide opportunities for continuous learning and experimentation, ensuring that our engineers can thrive in a supportive environment. Located in the UK, we offer a unique chance to work on cutting-edge technology while prioritising security and governance, making a meaningful impact on the future of AI-enabled development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer (AI Developer Experience) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and developer experience. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to AI development. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 Engineer (AI Developer Experience) in Bristol
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and developer experience shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and how you can contribute to our team.
Tailor Your Experience:Make sure to highlight your relevant experience with production-grade AI systems and distributed systems. We love seeing how your background aligns with what we’re looking for, so don’t hold back on those details!
Be Clear and Concise:We appreciate a straightforward approach. Use clear language to explain your skills and experiences, especially when discussing complex AI concepts. This will help us understand your thought process and how you communicate.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 technologies, especially those mentioned in the job description like Claude or OpenAI. Be ready to discuss your hands-on experience with production-grade AI systems and how you've integrated third-party APIs without compromising reliability.
✨Showcase Your Systems Thinking
Prepare to demonstrate your understanding of distributed systems and how they relate to AI workflows. Think about examples from your past work where you’ve successfully designed or improved systems, and be ready to explain your thought process clearly.
✨Highlight Your DevEx Mindset
This role is all about enhancing developer productivity, so come armed with examples of how you’ve made engineers' lives easier in previous roles. Discuss any tools or processes you’ve implemented that have streamlined workflows or improved collaboration.
✨Be Ready to Talk Security and Governance
Security is a big deal in this role, so think about how you’ve approached designing approval processes or security guardrails in your past projects. Be prepared to share specific instances where you’ve mitigated risks like data leakage or prompt injection.
