{"id":562115,"url":"https://alion.io/job/powerline-lead-ai-engineer","title":"AI Engineer","company":{"id":456163,"name":"Powerline","domain":"drivepowerline.com","url":"https://alion.io/company/powerline-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","Australia"],"countries":["US","AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":176000,"max_usd":364000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":782},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pydantic AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2025-10-07T16:58:48Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-07T23:34:34Z","board_verified":true,"closed_at":null,"days_open":396,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":395},"description":"Join Powerline and help build the future of autonomous energy systems.\nPowerline 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.\nWe 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.\nAbout the Role\nWe 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.\nThis 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.\nWhat You’ll Build\nYou will design and deploy Powerline’s AI Agents to:\nanswer complex questions, explain algorithm results, and act as a decision-support tool;\n\nrun continuous tasks and be proactive, without human intervention; and\n\niterate, evaluate, and inference with Powerline data and infrastructure\n\nThese systems will operate in high-stakes environments where correctness and reliability directly impact economic decisions.\nCore Responsibilities\nArchitect and build agentic AI systems that plan, reason, and act across workflows\n\nDesign tool-using agents that integrate with Powerline systems\n\nDevelop multi-step decision systems\n\nBuild stateful and long-running agents\n\nDefine and implement evaluation frameworks\n\nImprove reliability, observability, and safety of LLM-based systems in production\n\nCollaborate with energy market specialists to translate real-world workflows into agent behavior and logic\n\nHelp lead technical direction for agent architecture and system design\n\nRequirements\nExperience building production AI or software systems, including work with LLM-powered or agentic applications\n\nStrong Python skills and experience integrating with APIs and external systems\n\nExperience designing multi-step or stateful systems (e.g., pipelines, workflows, or agents)\n\nExperience building memory and Retrieval Augmental Generation (RAG) frameworks\n\nExperience with Agent evaluation from direct user feedback\n\nExperience with Agent orchestration frameworks (e.g., Pydantic AI, LangChain, or similar)\n\nAbility to operate across engineering, product, and applied AI\n\nStrong ownership mindset and comfort building 0→1 systems in fast-paced environments\n\nExcellent communication skills and ability to collaborate across technical and domain teams\n\nStrong Plus\nExperience building systems with partial or full 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