Application Guide

How to Apply for People & Finance Systems Developer

at Kaluza

🏢 About Kaluza

Kaluza is at the forefront of the energy transition, building intelligent software that enables energy suppliers to accelerate decarbonisation. Working here means contributing to a mission-driven company that values innovation and sustainability, all while leveraging cutting-edge AI to transform critical business operations.

About This Role

This role uniquely blends software development with AI integration, focusing on building intelligent workflows for People and Finance teams using modern large language models. You'll directly impact operational efficiency by connecting systems like Workday and Slack with AI, and your work will shape how the company adopts responsible AI practices.

💡 A Day in the Life

You might start by reviewing a stakeholder request to automate candidate screening in Greenhouse, then prototype a workflow using Anthropic's Claude API integrated with Slack for notifications. Later, you'd collaborate with the People team to iterate on the solution, ensuring data privacy, and end the day by documenting the integration for future reuse.

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🎯 Who Kaluza Is Looking For

  • A developer with 1-2 years of commercial experience who is passionate about applying AI to real-world business problems, not just building features.
  • Someone who has hands-on experience with LLM APIs (Anthropic, OpenAI, Gemini) and understands how to integrate them into existing tools via REST APIs.
  • A problem-solver who enjoys collaborating with non-technical stakeholders to prototype solutions and iterate based on feedback.
  • Mindful of data privacy and security, with a foundational understanding of responsible AI practices and their implications in HR and finance contexts.

📝 Tips for Applying to Kaluza

1

Highlight specific projects where you integrated LLMs (e.g., using Anthropic's Claude or Gemini) into workflows, even if they were personal or academic—Kaluza values hands-on experimentation.

2

Mention any experience with HR or finance systems (Workday, Greenhouse) or tools like Slack/Jira APIs, as this directly aligns with the job's integration focus.

3

Showcase your ability to prototype quickly: include examples of building a minimum viable product (MVP) and iterating based on stakeholder feedback.

4

Emphasize your understanding of data privacy in AI contexts—perhaps discuss how you handled sensitive data in a project or your knowledge of GDPR.

5

Tailor your CV to include keywords like 'LLM APIs', 'REST', 'Workday', 'Greenhouse', 'Slack', 'Jira', and 'responsible AI' to pass initial screening.

✉️ What to Emphasize in Your Cover Letter

["Express enthusiasm for Kaluza's mission to decarbonise energy and how AI can accelerate that mission through operational efficiency.", 'Detail your specific experience with LLM APIs (e.g., Anthropic, Gemini) and integration projects, showing you can hit the ground running.', 'Highlight your collaborative approach to working with stakeholders, especially in translating business problems into AI solutions.', "Mention your commitment to responsible AI, data privacy, and security, aligning with Kaluza's emphasis on safe AI use."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Kaluza's blog or press releases about their AI initiatives and how they integrate AI into their core platform.
  • → Understand the energy supplier landscape and how Kaluza's software enables decarbonisation—this context helps in interviews.
  • → Familiarize yourself with the specific APIs of Workday, Greenhouse, Slack, Jira, and Google Workspace, as these are central to the role.
  • → Look into Kaluza's culture and values, especially their stance on innovation, sustainability, and responsible technology.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you integrated an LLM API into a system. What challenges did you face with data privacy or latency?
2 How would you design an AI workflow to automate a recurring People/Finance task (e.g., expense report processing)? Walk through your approach.
3 Explain your understanding of responsible AI in the context of HR systems. What guardrails would you put in place?
4 Given a stakeholder request to summarize employee feedback from Slack, how would you prototype a solution using LLMs and APIs?
5 How do you stay updated on new LLM capabilities? Give an example of how you applied a new model feature to a project.
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⚠️ Common Mistakes to Avoid

  • Don't overstate your AI experience—if you've only used OpenAI's API, be honest; Kaluza values hands-on experimentation but also integrity.
  • Avoid generic applications that don't mention their specific tech stack (Workday, Greenhouse, Slack, Jira) or mission.
  • Don't neglect data privacy in your responses—failing to address it can signal a lack of awareness for a role handling sensitive People/Finance data.

📅 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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