At a Glance
- Tasks: Design AI-native solutions and automate processes in People and Finance teams.
- Company: Join Kaluza, a leading Energy Intelligence Platform transforming the energy sector.
- Benefits: Enjoy a competitive salary, flexible holidays, and a personal learning budget.
- Other info: Diverse team culture with excellent career growth opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on operations.
- Qualifications: Experience with AI/LLM APIs and a knack for cross-functional collaboration.
The predicted salary is between 60000 - 80000 € per year.
This role is based in London, UK and requires 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.
We're hiring an AI‑native software engineer who will be embedded across our People and Finance teams, helping us reimagine how those functions operate in a world where AI changes what's possible. This isn't a traditional engineering role. You'll spend as much time thinking about process, insight, security and workflow as you will reviewing code written by the latest AI tools. You'll start by automating manual processes and building coherent dashboards from data that currently lives in too many places — then you'll help us see further: how can these functions stop being reactive and start leading with intelligence?
What will I be doing?
- Build AI‑Native Solutions: Design and deploy multi‑step AI pipelines and agentic workflows using modern LLM APIs (Anthropic, OpenAI) to transform internal operations.
- Automate & Orchestrate: Identify manual, repetitive processes across People and Finance to build reliable automation—from onboarding flows to complex month‑end reporting.
- Centralize Intelligence: Integrate data from core business systems (Workday, Greenhouse, Navan) into Databricks and BigQuery to create unified, real‑time dashboards.
- Define the "Art of the Possible": Partner with functional leaders to challenge existing workflows and prototype "intelligent" ways of working before they become industry standards.
- Own the Roadmap: Act as a "team of one" initially, moving between high‑level strategic conversations and hands‑on technical implementation to deliver a long‑term vision.
- Ensure Reliability & Security: Spend dedicated time ensuring the security and integrity of workflows, reviewing AI‑generated code, and making high‑judgement "build vs. buy" decisions.
About You
Ideally you’ll have/be:
- Modern AI Proficiency: Strong experience building with modern AI/LLM APIs and the ability to manage complex data structures through Databricks and BigQuery.
- Full‑Stack Versatility: Comfortable working across the stack, including backend logic, data pipelines, and lightweight front‑end development.
- Embedded Experience: A history of working in cross‑functional roles where you’ve translated business needs into technical reality.
- Strategic Communicator: Able to make AI concepts accessible to non‑technical stakeholders and happy to define problems rather than just execute specs.
What will set you apart
- System Integration Expertise: Specific experience integrating with HR or finance systems like Workday, Greenhouse, or Navan.
- Agentic Workflow Mastery: Proven success in building agents that handle routine questions and autonomous processes.
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.
AI Native Software Engineer in London employer: Kaluza
Kaluza is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, we provide a personal learning budget, flexible holiday options, and a progressive leave policy, ensuring that our team members can thrive both personally and professionally. Our focus on diversity and inclusion, coupled with unique perks like access to a climate action app and retail discounts, makes Kaluza a rewarding place to build a meaningful career in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Kaluza. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any cool AI projects or automated processes, make sure to have them ready to share. A portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by understanding Kaluza's mission and values. Think about how your experience aligns with their goals, especially around AI and automation in People and Finance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Kaluza team.
We think you need these skills to ace AI Native Software Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let us see your enthusiasm for AI and how it can transform the People and Finance sectors. Share any relevant projects or experiences that highlight your skills in building AI-native solutions.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific requirements of the AI Native Software Engineer role. Highlight your experience with modern AI/LLM APIs and any cross-functional roles you've had that relate to this position.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don't forget to submit your application through our careers site! 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 latest AI and LLM APIs like Anthropic and OpenAI. Be ready to discuss how you've used these tools in past projects, especially in automating processes or building workflows.
✨Showcase Your Full-Stack Skills
Prepare examples that highlight your versatility across the tech stack. Whether it's backend logic or front-end development, be ready to explain how you’ve integrated different components to create seamless solutions.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll need to demonstrate your ability to make technical ideas accessible to non-technical stakeholders, so think of relatable examples from your experience.
✨Emphasise Collaboration
Since this role involves working closely with cross-functional teams, come prepared with stories that illustrate your collaborative spirit. Highlight instances where you’ve successfully translated business needs into technical solutions.
