Application Guide

How to Apply for AI Native Software Engineer

at Kaluza

🏢 About Kaluza

Kaluza is at the forefront of the energy transition, building intelligent software that empowers suppliers to decarbonize. Unlike traditional energy tech companies, Kaluza focuses on AI-native solutions to reimagine operations, making it a unique place for engineers who want to apply cutting-edge AI to real-world sustainability challenges.

About This Role

As an AI Native Software Engineer, you'll design and deploy multi-step AI pipelines and agentic workflows using LLMs like Anthropic and OpenAI, directly transforming internal operations in People and Finance. This role offers high impact by automating critical processes and building unified dashboards, with the chance to shape how AI is used in energy.

💡 A Day in the Life

A typical day might start with a standup with the AI team to discuss pipeline progress, then a meeting with the People team to identify a new automation opportunity. Afternoon could involve coding a Databricks notebook to integrate Workday data, testing an agentic workflow using Anthropic's API, and wrapping up by prototyping a dashboard in a lightweight frontend framework.

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🎯 Who Kaluza Is Looking For

  • Proven experience with modern AI/LLM APIs (e.g., OpenAI, Anthropic) and building complex data pipelines in Databricks and BigQuery.
  • Full-stack capable: comfortable with backend logic, data engineering, and lightweight front-end development to deliver end-to-end solutions.
  • Cross-functional communicator who can translate business needs into technical solutions and make AI concepts accessible to non-technical stakeholders.
  • Proactive problem-solver who identifies manual processes and prototypes intelligent automation, with a bias for action and iteration.

📝 Tips for Applying to Kaluza

1

Highlight specific projects where you used LLM APIs (e.g., OpenAI, Anthropic) to build multi-step pipelines or agentic workflows – mention the exact tools and outcomes.

2

Showcase experience with Databricks and BigQuery by detailing how you managed complex data structures or built dashboards for business users.

3

Emphasize any cross-functional work where you partnered with People, Finance, or other non-engineering teams to automate processes.

4

Tailor your resume to include examples of automating repetitive tasks (e.g., onboarding, reporting) and the impact on efficiency.

5

In your cover letter, mention your passion for sustainability and how your AI skills can drive decarbonisation – Kaluza's mission is core.

✉️ What to Emphasize in Your Cover Letter

['Your experience with AI/LLM APIs and data pipelines (Databricks/BigQuery) – be specific about projects and results.', 'Your ability to work cross-functionally and translate business needs into technical solutions, especially in People or Finance domains.', 'Your proactive approach to identifying and automating manual processes, with examples of prototypes or deployed solutions.', "Your enthusiasm for Kaluza's mission to decarbonise energy and how your skills can directly contribute to that goal."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read about Kaluza's platform and how it empowers energy suppliers – understand their product and customer base.
  • → Look into their engineering blog or tech talks to see their approach to AI and data infrastructure.
  • → Research the energy industry's current challenges in decarbonisation and how AI is being applied.
  • → Check Kaluza's recent news or press releases about partnerships or product launches to show awareness.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through how you designed an AI pipeline using LLM APIs – what were the steps, challenges, and outcomes?
2 How would you approach automating a complex month-end reporting process using Databricks and BigQuery?
3 Describe a time you worked with non-technical stakeholders (e.g., HR, Finance) to define a problem and build a solution.
4 How do you make AI concepts accessible to someone without a technical background? Give an example.
5 Given Kaluza's focus on energy, how would you apply AI to improve sustainability metrics or operational efficiency?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on AI/ML theory without demonstrating practical implementation with LLM APIs and data engineering.
  • Ignoring the cross-functional aspect – don't just list technical skills; show how you've collaborated with business teams.
  • Being vague about impact – use metrics (e.g., 'reduced manual effort by 50%') instead of generic statements like 'improved efficiency'.

📅 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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