You will lead the development of automated operational systems for a next-generation energy provider. By deploying LLM-powered agents and workflows, you’ll redefine customer operations and infrastructure management. This role bridges technical engineering with commercial strategy, scaling a high-impact platform that addresses modern grid challenges through first-principles AI integration.
AI Ops Associate / Lead at VC-backed clean energy startup
Join a well-funded London startup that is redesigning energy infrastructure for a renewable-first future by building production-grade AI agents to automate complex operational workflows. As an AI Ops Lead with 2-5 years of experience, you will move beyond experimental wrappers to architect a fully automated operations engine from the ground up using Python and LangGraph, offering the rare chance to earn significant equity while directly influencing the cost curve of a next-generation energy utility.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
VC-backed clean energy startup
What you will do
- Design and deploy LLM-powered automations to handle end-to-end customer journeys and complex operational workflows.
- Collaborate with engineering and product teams to integrate agentic frameworks like LangGraph into core business logic.
- Monitor and optimize the performance of AI agents, ensuring measurable cost advantages and operational efficiency.
Who this is a fit for
- Has 2-5 years of experience owning end-to-end processes in high-stakes environments like ops, consulting, or engineering.
- Possesses hands-on experience shipping LLM-powered applications using Python, LangGraph, and modern AI orchestration tools.
- Demonstrates a founder-like obsession with process improvement and the ability to thrive in fast-paced, ambiguous startup settings.
Why this role is remarkable
- Join a well-funded startup redesigning energy infrastructure from the ground up to support global electrification and renewables.
- Enjoy immense ownership, building a function from scratch while working directly with a founding team from top-tier energy and tech firms.
- Ship production-grade AI agents that interact with real-world physical networks and volatile energy markets at scale.
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