Application Guide

How to Apply for People & Finance Systems Developer

at Kaluza

🏢 About Kaluza

Kaluza is a forward-thinking software company that empowers energy suppliers to drive decarbonisation. By focusing on intelligent software for the energy transition, they offer a mission-driven environment where technology directly impacts sustainability. Their embrace of AI for internal operations shows a commitment to innovation beyond their core product.

About This Role

This role blends software development with AI integration to transform People and Finance operations. You'll design and deploy AI-powered workflows using cutting-edge LLMs, directly improving efficiency in HR and financial processes. It's a unique opportunity to apply generative AI to real-world business problems in a high-impact, cross-functional capacity.

💡 A Day in the Life

You might start by reviewing feedback from a Finance stakeholder on an AI workflow you deployed for expense categorisation. Then you'd pair with a People team member to prototype a Slack bot that answers HR policy questions using an LLM. Later, you'd iterate on an API integration between Workday and Greenhouse to automate new hire data flow, and end the day exploring a new Gemini feature for potential use cases.

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🎯 Who Kaluza Is Looking For

  • Has hands-on experience building automations or tools, ideally integrating APIs and scripting (e.g., Python, Node.js).
  • Is deeply curious about AI, with practical experience using LLM APIs like Anthropic, OpenAI, or Gemini to create workflows or agents.
  • Enjoys stakeholder collaboration and can translate business needs from People/Finance teams into technical solutions.
  • Is eager to understand the bigger picture of HR and finance operations, not just the technical side.

📝 Tips for Applying to Kaluza

1

Highlight specific projects where you built AI-powered workflows or agents using LLM APIs (e.g., a Slack bot that automates expense approvals).

2

Showcase your ability to integrate systems via APIs, especially Workday, Greenhouse, Slack, Jira, or Google Workspace.

3

Emphasise any experience with People or Finance processes, even if self-taught (e.g., automating payroll data entry).

4

Tailor your CV to demonstrate curiosity and a builder mindset—include side projects or hackathons involving AI.

5

Mention your passion for sustainability and how Kaluza's mission aligns with your values.

✉️ What to Emphasize in Your Cover Letter

['Your enthusiasm for using AI to solve real business problems, not just technical challenges.', 'Concrete examples of building AI-powered automations that improved operations (e.g., reduced manual work for HR).', 'Your collaborative approach and comfort working with non-technical stakeholders to understand their needs.', "Alignment with Kaluza's mission of driving decarbonisation through intelligent software."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Kaluza's blog and news to understand their product (VPP platform) and recent AI initiatives.
  • → Familiarise yourself with their tech stack: likely Python, cloud (AWS/GCP), and integration patterns.
  • → Learn about the specific People and Finance tools they use: Workday, Greenhouse, Slack, Jira, Google Workspace.
  • → Understand the UK energy market and how Kaluza's software enables suppliers to offer smart tariffs and manage distributed energy resources.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a time you built an AI workflow. What was the problem, how did you choose the LLM, and what challenges did you face?
2 How would you design a tool to automatically answer employee questions about benefits using a knowledge base and LLM?
3 Describe your experience with APIs. How do you handle rate limits, authentication, and error handling?
4 How would you convince a skeptical finance team member to adopt an AI-powered automation?
5 What's your understanding of the energy industry's challenges and how software can help decarbonise?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application without mentioning AI or LLM experience specifically.
  • Overemphasising traditional software engineering without showing a builder/automation mindset.
  • Neglecting to demonstrate interest in the People/Finance domain—this role requires understanding those operations.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Kaluza!

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