AI Engineer

The role

The Lead AI Engineer will design and build agentic systems that reason over complex data and orchestrate modeling workflows. These systems will automate insights and decisions for energy asset operations.

What you will do

• Architect and build agentic AI systems that 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
• Improve reliability, observability, and safety of LLM-based systems in production
• 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

Required qualifications

• Experience building production AI or software systems, including work with LLM-powered or agentic applications
• Strong Python skills and experience integrating with APIs and external systems
• Experience designing multi-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

Nice to have

• Experience building systems with partial or full autonomy in 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

About the company

Powerline is a fast-growing, VC-backed climate tech company transforming how renewable energy and battery storage assets operate on the electricity grid. Their technology combines machine learning, optimization, and market intelligence.