Responsibilities
- 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
Requirements
- 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
