Powerline - Lead AI Engineer
Requirements
• Experience building production AI or software systems, including work with LLM-powered or agentic applications • production AI or software systems • Strong Python skills and experience integrating with APIs and external systems • Experience designing multi-step or stateful systems (e.g., pipelines, workflows, or agents) • multi-step or stateful systems • Experience building memory and Retrieval Augmental Generation (RAG) frameworks • memory • Experience with Agent evaluation from direct user feedback • Agent evaluation • Experience with Agent orchestration frameworks (e.g., Pydantic AI, LangChain, or similar) • Ability to operate across engineering, product, and applied AI • 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 • Strong Plus • Experience building systems with partial or full autonomy in real-world environments • partial or full autonomy • Experience working with real-time or streaming data pipelines • real-time or streaming data pipelines • Experience in electricity markets, trading, or energy systems • Experience with time-series modeling or forecasting
Responsibilities
• Architect and build agentic AI systems that plan, reason, and act across workflows • agentic AI systems • Design tool-using agents that integrate with Powerline systems • tool-using agents • Develop multi-step decision systems • multi-step decision systems • Build stateful and long-running agents • stateful and long-running agents • Define and implement evaluation frameworks • evaluation frameworks • Improve reliability, observability, and safety of LLM-based systems in production • reliability, observability, and safety • Collaborate with energy market specialists to translate real-world workflows into agent behavior and logic • agent behavior and logic • Help lead technical direction for agent architecture and system design
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