Application Guide

How to Apply for Forward Deployed Engineer (AI)

at ICAP Energy AS

🏢 About ICAP Energy AS

ICAP Energy AS is a pioneering energy and commodities broker driving sustainable markets through innovative technology. As part of TP ICAP, a global leader in brokering, they combine deep domain expertise with a forward-looking AI strategy, making it an exciting place for engineers who want to see their work directly impact real-world trading and energy markets.

About This Role

As a Forward Deployed Engineer (AI), you'll own the full lifecycle of AI deployments within a business division, from discovery to production. You'll embed with stakeholders to solve real challenges using cutting-edge generative AI and LLMs, while also contributing to TP ICAP's shared AI platform. This role combines hands-on engineering with strategic impact, bridging technical innovation and business value.

💡 A Day in the Life

A typical day might start with a stand-up with your business division to understand new challenges, then shift to coding a new AI feature for a trading workflow. You'll also meet with the platform team to share insights and help prioritize the shared AI service roadmap, and end the day reviewing evaluation metrics for a recently deployed model.

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Interview Prep

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🎯 Who ICAP Energy AS Is Looking For

  • Expert in generative AI and LLMs, with hands-on experience in prompt engineering, agent development, and evaluation frameworks.
  • Proficient in Python AI/ML frameworks and capable of writing production-grade full-stack code.
  • Proven track record of architecting scalable solutions from prototype to production.
  • Strong communicator who can explain complex technical concepts to non-technical stakeholders and collaborate across teams.

📝 Tips for Applying to ICAP Energy AS

1

Highlight specific projects where you deployed generative AI or LLM-based applications from prototype to production, emphasizing scalability and business impact.

2

Showcase your full-stack capabilities by mentioning both frontend and backend work, especially in Python and AI/ML frameworks like LangChain, PyTorch, or Hugging Face.

3

Demonstrate your ability to work directly with business stakeholders by including examples of translating domain requirements into technical solutions.

4

Tailor your resume to emphasize experience with agent development, evaluation frameworks, and prompt engineering, as these are explicitly mentioned.

5

If you have experience in energy, commodities, or financial services, mention it; otherwise, show how you quickly learn new domains and adapt to stakeholder needs.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your end-to-end ownership of AI deployments and your ability to work directly with business stakeholders to solve real problems.', 'Highlight your hands-on experience with generative AI and LLMs, including specific frameworks and production deployments.', 'Show enthusiasm for contributing to a shared AI platform and collaborating with a team to drive product roadmaps.', 'Mention your communication skills and ability to present complex ideas to non-technical leadership.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand TP ICAP's business model in energy and commodities brokering, and how AI can drive sustainable markets.
  • → Review ICAP Energy's recent news or press releases about technology initiatives or AI deployments.
  • → Familiarize yourself with the concept of 'forward deployed engineering' and how it differs from traditional software engineering roles.
  • → Look into the company's approach to AI ethics and responsible AI, as it may come up in discussions.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you deployed an AI solution from prototype to production; what challenges did you face and how did you overcome them?
2 How do you approach prompt engineering and agent development for complex business workflows?
3 Explain a scenario where you had to communicate a technical AI concept to a non-technical stakeholder; how did you ensure understanding?
4 How would you design a scalable AI service for a trading or energy brokering context?
5 Discuss your experience with evaluation frameworks for LLMs; how do you measure success and iterate?
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⚠️ Common Mistakes to Avoid

  • Avoid being too generic about AI experience; be specific about LLMs, generative AI, and production deployments.
  • Don't neglect the 'full-stack' requirement; even if you're AI-focused, show you can write production code across the stack.
  • Don't underestimate the importance of communication; this role requires constant interaction with non-technical stakeholders, so prepare examples.

📅 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 ICAP Energy AS!

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