Senior Engineer I - AI Developer Experience at Kaluza

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

82500.0

Posted On

02 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering Platform, Model Context Protocol (MCP), LLM-ops, Agentic Workflows, AWS, Infrastructure as Code, Distributed Systems, API Integration, Developer Productivity, Security Guardrails, Metrics Automation, Spec-Driven Development, Low-Code Automation, Onboarding Documentation, Performance Analytics, Prompt Engineering

Industry

technology;Information and Internet

Description

Job Title: Senior Engineer I Location: London, Bristol or Edinburgh (Including Hybrid) Salary: £60,000 - £82,500 Team: Developer Experience Reporting To: Head of Engineering Closing date: Friday 30th March 2026 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. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen. 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. Find out more about working in Kaluza on our careers page and LinkedIn. You can also find our Applicant Data Protection Policy here.

Responsibilities

This role involves architecting and evolving the Internal AI Engineering Platform, focusing on building infrastructure like Model Context Protocol (MCP) servers and shared workflows to enhance software team speed, reliability, and security. Key tasks include leading AI tooling trials, designing secure infrastructure, developing shared services for standardization, and building low-code automations to support spec-driven development.