At a Glance
- Tasks: Architect and evolve our Internal AI Engineering Platform to enhance developer productivity.
- Company: Join Kaluza, a leading Energy Intelligence Platform driving the clean energy revolution.
- Benefits: Enjoy competitive salary, flexible work options, and a personal learning budget.
- Why this job: Make a real impact in AI development while working with cutting-edge technologies.
- Qualifications: Experience in production-grade AI systems and a passion for developer productivity.
- Other info: Diverse team culture with excellent career growth opportunities.
The predicted salary is between 50000 - 70000 ÂŁ per year.
This role is based in the UK and requires an existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real‑time decisions across homes, devices, markets and grids. By combining predictive algorithms with human‑centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.
What will I be doing?
- 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.
About You
Ideally you’ll have/be:
- 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.
What will set you apart
- 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.
- Collaborative Communicator: Ability to translate complex AI concepts into clear guides and onboarding docs for the wider engineering community.
- Relentless Curiosity: A motivation to continuously trial new tools in a weekly‑changing landscape and the agility to pivot when better solutions emerge.
Kaluza Values
Here at Kaluza we have five core values that guide us as a business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.
Our Perks:
- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- Access to Furthr - a Climate Action app
- Free Mortgage Advice and Eye Tests
- Perks at Work - access to thousands of retail discounts
- 5% Flex Fund - to spend on the benefits you want most
- 26 days holiday
- Flexible Bank Holidays - Giving you an additional 8 days which you can choose to take whenever you like
- Progressive Leave Policy - With no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
- Personal Learning Budget - Upskill, learn and grow!
- Home Office Budget
- And more!
We want the best people
We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential. 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.
Senior Engineer I - AI Developer Experience in Bristol employer: Kaluza
Contact Detail:
Kaluza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer I - AI Developer Experience in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by researching Kaluza's projects and values. Show us how your skills align with our mission to make clean energy dependable and affordable. We love candidates who are genuinely interested in what we do!
✨Tip Number 3
Practice your coding skills and be ready to demonstrate your problem-solving abilities. We want to see how you think and approach challenges, so brush up on those technical skills before the big day!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows us that you’re genuinely interested in the role. Plus, it’s a great chance to reiterate why you’d be a perfect fit!
We think you need these skills to ace Senior Engineer I - AI Developer Experience in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Engineer I role. Highlight your experience with AI systems, infrastructure as code, and any relevant projects that showcase your developer productivity mindset.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the role and how you can contribute to Kaluza's mission. Share specific examples of your past work that demonstrate your ability to solve real problems and build trust within teams.
Showcase Your Curiosity: In your application, let us know about your passion for trialling new tools and your approach to continuous learning. We love candidates who are curious and eager to explore the latest in AI development!
Apply Through Our Website: We encourage you to submit your application through our careers site. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the details about the role there!
How to prepare for a job interview at Kaluza
✨Know Your Stuff
Make sure you brush up on your knowledge of AI development and the specific tools mentioned in the job description, like Claude Code and Kiro. Be ready to discuss your experience with production-grade AI systems and how you've integrated third-party APIs in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world problems in previous roles. Highlight your ability to design secure and scalable processes, especially around AI workflows. This will demonstrate that you can solve the real problems Kaluza faces.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You might be asked to describe how you would create onboarding documentation or guidelines for engineers. Being a collaborative communicator is key, so show that you can make technical information accessible.
✨Emphasise Your Curiosity
Kaluza values relentless curiosity, so be prepared to discuss how you stay updated with the latest tools and trends in AI. Share examples of how you've trialled new technologies and adapted your approach based on what you've learned.