AI Engineer - Developer Experience

Responsibilities

• As our AI DevEx Engineer, you will lead the charge in transitioning AI from "experimental" to "essential." Your core responsibilities will include:
• 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.
• Agentic Workflows: Develop and maintain "Shared Agents" and agents.md standards to standardize coding styles and automate repetitive architectural tasks.
• 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.
• Security & Cost Optimization: Partner with security and finance teams to ensure our AI usage reinforces our security safeguards and remains cost-efficient at scale.
• About You
• Production-Grade AI Implementation: You have experience building and running production systems, but you're also deeply curious about the "LLM-ops" lifecycle-moving beyond chat interfaces to integrated agentic workflows.
• Systems Thinker: You possess a solid foundational knowledge of distributed systems and understand how to integrate third-party AI APIs (like Claude or OpenAI) without compromising system reliability or latency.
• Infrastructure as Code & Beyond: You have hands-on experience with AWS in production, and you treat AI prompts, MCP configurations, and agent definitions with the same version-control rigor as your infrastructure.
• The DevEx Mindset: You are passionate about developer productivity. You don't just build tools; you build experiences that make an engineer's day-to-day life easier and more creative.
• Security & Governance First: You understand the risks of AI (data leakage, prompt injection) and can design approval processes and security guardrails that protect the business without slowing down innovation.
• Data-Informed: You enjoy defining and automating metrics-like tracking AI-generated code volume or PR velocity-to prove the value of the too

Additional Information

Job title: Engineer II Location: London / Bristol / Edinburgh (Including hybrid) Salary: £45,600 - £62,700 Team: Developer Experience Reporting To: Senior Software Engineering Manager. 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. Where in the world of Kaluza will I be working? You'll be joining the Developer Experience (DevEx) team within our broader Kaluza Technology community. We're a large team of both data-led and product focused Software and Production Engineers, pushing the boundaries of technology and working at an extraordinary scale. As a collective we strive for engineering greatness and by ensuring best practices across the board of the community. 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 agentic workflows-that empowers our software teams to move faster and more securely. Your work will directly impact how Kaluza eliminates defects, scales productivity, and defines the gold standard for AI-augmented development. Our tech stack is very fluid, but broadly you can find yourself working with: AWS, Kubernetes, LLMs (Claude, GPT, etc.), MCP servers, LangChain/LangGraph, and modern observability tools.

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