At a Glance
- Tasks: Architect and evolve our Internal AI Engineering Platform, enhancing developer productivity and system reliability.
- Company: Join Kaluza, 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 working with cutting-edge technologies.
- Qualifications: Experience in AI systems, AWS, and a passion for enhancing developer experiences.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
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.
What you will be doing?
- 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.
Senior Engineer I - AI Developer Experience in London employer: Kaluza
Kaluza is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Engineers passionate about AI development. With a strong focus on employee growth, Kaluza offers opportunities to work with cutting-edge technologies while ensuring a supportive environment that values creativity and productivity. Located in a vibrant tech hub, employees benefit from a dynamic work atmosphere and access to a network of like-minded professionals, enhancing both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer I - AI Developer Experience in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and engineering tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI development. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Engineer I - AI Developer Experience in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and developer productivity shine through. We want to see how your curiosity and experience align with our mission to enhance the developer experience.
Tailor Your Experience:Make sure to highlight your relevant experience in building production-grade AI systems and working with distributed systems. We love seeing how you've tackled challenges similar to those we face at StudySmarter.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your skills and experiences, especially when discussing complex AI concepts. We appreciate a well-structured application that’s easy to read!
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 Tools
Familiarise yourself with the next-generation engineering tools mentioned in the job description, like Claude Code and Kiro. Be ready to discuss how you've used similar tools in the past and how you can lead their deployment effectively.
✨Showcase Your Systems Thinking
Prepare to demonstrate your understanding of distributed systems and how to integrate third-party AI APIs. Think of examples where you've successfully maintained reliability while implementing new technologies.
✨Highlight Your DevEx Mindset
Share specific instances where you've improved developer productivity or created solutions that made engineers' lives easier. This will show your passion for enhancing the developer experience, which is crucial for this role.
✨Prepare for Security Discussions
Be ready to talk about how you've designed approval processes and security guardrails in previous roles. Discussing your approach to protecting against risks like data leakage will demonstrate your commitment to security and governance.
