Lead AI Engineer

Join Powerline and help build the future of autonomous energy systems.

Powerline is a fast-growing, VC-backed climate tech company transforming how renewable energy and battery storage assets operate on the electricity grid. Our technology combines machine learning, optimization, and market intelligence to help asset owners monitor, analyze, and maximize operational performance in the world’s most complex energy markets.

We work with leading developers, traders, and operators across global electricity markets, solving high-impact problems that accelerate the transition to a more flexible, decarbonized grid.

About the Role

We are looking for a Lead AI Engineer to design and build anagenticsystem that can reason over complex data, orchestrate modeling workflows, and autonomously generate insights and decisions related to energy asset operations.

This role focuses on buildingproduction-grade AI systemsused by experts in energy markets. You will develop systems that combine LLMs, time-series data, and optimization engines intointelligent agentsthat operate across both:Interactive workflowsandAutonomous workflows. You will play a foundational role in defining how AI systems understand and interact with energy assets and electricity markets.

What You’ll Build

You will design and deploy Powerline’s AI Agents to:

1. answer complex questions, explain algorithm results, and act as a decision-support tool;

2. run continuous tasks and be proactive, without human intervention; and

3. iterate, evaluate, and inference with Powerline data and infrastructure

These systems will operate inhigh-stakes environmentswhere correctness and reliability directly impact economic decisions.

Core Responsibilities

• Architect and buildagentic AI systemsthat plan, reason, and act across workflows

• Design tool-using agents that integrate with Powerline systems

• Develop multi-step decision systems

• Build stateful and long-running agents

• Define and implement evaluation frameworks

• Improvereliability, observability, and safetyof LLM-based systems in production

• Collaborate with energy market specialists to translate real-world workflows intoagent behavior and logic

• Help lead technical direction for agent architecture and system design

Requirements

• Experience buildingproduction AI or software systems, including work with LLM-powered or agentic applications

• Strong Python skills and experience integrating with APIs and external systems

• Experience designingmulti-step or stateful systems(e.g., pipelines, workflows, or agents)

• Experience building memory and Retrieval Augmental Generation (RAG) frameworks

• Experience with Agent evaluation from direct user feedback

• Experience with Agent orchestration frameworks (e.g., Pydantic AI, LangChain, or similar)

• Ability to operate across engineering, product, and applied AI

• Strong ownership mindset and comfort building 0→1 systems in fast-paced environments

• Excellent communication skills and ability to collaborate across technical and domain teams

Strong Plus

• Experience building systems withpartial or full autonomyin real-world environments

• Experience working with real-time or streaming data pipelines

• Experience in electricity markets, trading, or energy systems

• Experience with time-series modeling or forecasting

• Experience with optimization systems