AI Engineer

Responsibilities

You will design and deploy Powerline’s AI Agents to

• answer complex questions, explain algorithm results, and act as a decision-support tool;
• run continuous tasks and be proactive, without human intervention; and
• iterate, evaluate, and inference with Powerline data and infrastructure
• These systems will operate in
• agentic AI systems
• that plan, reason, and act across workflows
• Design
• tool-using agents
• Develop
• multi-step decision systems
• Build
• stateful and long-running agents
• Define and implement
• evaluation frameworks
• Improve
• reliability, observability, and safety
• Collaborate with energy market specialists to translate real-world workflows into
• agent behavior and logic
• Help lead technical direction for agent architecture and system design

Requirements

• production AI or software systems, including work with LLM-powered or agentic applications
• Experience designing
• multi-step or stateful systems
• Experience building
• memory

Preferred

• 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

About the Role

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

This role focuses on building production-grade AI systems used by experts in energy markets. You will develop systems that combine LLMs, time-series data, and optimization engines into intelligent agents

that operate across both

Interactive workflows and

Autonomous 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

high-stakes environments where correctness and reliability directly impact economic decisions.

Core Responsibilities

Architect and build that integrate with Powerline systems of LLM-based systems in production

Requirements

Experience building

• Strong Python skills and experience integrating with APIs and external systems
• (e.g., pipelines, workflows, or agents) 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 with partial or full autonomy in real-world environments