Application Guide

How to Apply for Applied AI Engineer

at TeraWatt Infrastructure

🏢 About TeraWatt Infrastructure

TeraWatt Infrastructure is at the forefront of fleet electrification, building the critical EV charging infrastructure needed to decarbonize transportation. Their mission-driven focus on scaling solutions for electric fleets offers a unique opportunity to directly combat climate change through applied AI.

About This Role

As an Applied AI Engineer, you will architect the internal AI platform and build agentic workflows that empower cross-functional teams to solve complex business problems. Your work will directly accelerate fleet electrification by creating reusable AI primitives and production-grade agents that reason across TeraWatt's tools and data.

💡 A Day in the Life

Your day might start with a stand-up with the Development team to discuss a new agent spec for automating charging station diagnostics, then you'll prototype a ReAct agent using Claude API and MCP servers to integrate with TeraWatt's operations tools. After lunch, you'll review evaluation metrics from last week's agent deployment, iterate on prompt patterns to reduce latency, and end the day documenting a reusable tool library for the AI platform.

🚀 Application Tools

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Interview Prep

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🎯 Who TeraWatt Infrastructure Is Looking For

  • Experienced in architecting production-grade software with Python or TypeScript, emphasizing modularity, observability, and scalability.
  • Hands-on with building autonomous agents using multi-step reasoning (e.g., ReAct or Plan-and-Execute) and integrating with external tools, APIs, and MCPs.
  • Deeply proficient with LLM APIs (e.g., Claude, OpenAI) and experienced in RAG implementations, vector databases, and prompt engineering.
  • Comfortable embedding with Development, Finance, and Ops teams to translate ambiguous problems into well-scoped agent specs with clear success criteria.

📝 Tips for Applying to TeraWatt Infrastructure

1

Highlight specific projects where you built production-grade agentic workflows (e.g., ReAct agents) with measurable reliability and cost/latency budgets.

2

Demonstrate experience with MCP servers or similar tool integration patterns, as the role mentions building MCP servers.

3

Showcase your ability to define evaluation standards and monitoring for AI systems, especially in production environments.

4

Tailor your resume to emphasize cross-functional collaboration, e.g., working with Finance or Ops teams to scope agent specs.

5

Mention any experience with EV charging, fleet operations, or energy infrastructure to show domain interest.

✉️ What to Emphasize in Your Cover Letter

["Highlight your passion for climate tech and fleet electrification, tying your AI expertise to TeraWatt's mission.", 'Emphasize your experience building reusable AI primitives and agentic systems that move from prototype to production.', 'Discuss your approach to defining success criteria and monitoring agent performance in production.', "Mention specific LLM frameworks or tools you've used (e.g., LangChain, Anthropic, OpenAI) and how you've applied them to solve real-world problems."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read TeraWatt's blog or press releases about their fleet electrification projects and partnerships.
  • → Understand the challenges in EV charging infrastructure: grid integration, site design, and operational logistics.
  • → Familiarize yourself with the concept of MCP (Model Context Protocol) and its role in tool integration for agents.
  • → Review recent advancements in agentic workflows, especially in the context of LLM reliability and cost optimization.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through an agent you built: design choices, reasoning pattern (ReAct vs. Plan-and-Execute), tool integration, and how you ensured reliability.
2 How do you evaluate and monitor LLM-based agents in production? Discuss metrics, cost/latency budgets, and handling model changes.
3 Describe a time you embedded with a non-technical team (e.g., Finance) to translate a vague problem into a concrete agent spec.
4 How would you design a reusable evaluation harness for agents that interact with multiple external APIs?
5 Given TeraWatt's focus on EV charging, how might you build an agent to optimize charging station maintenance or fleet scheduling?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Sending a generic cover letter that doesn't mention TeraWatt's mission or the specific role's focus on agentic workflows.
  • Overemphasizing research experience without demonstrating production-grade software engineering skills.
  • Failing to show concrete examples of building and deploying autonomous agents with measurable outcomes.

📅 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 TeraWatt Infrastructure!

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