Teams at Fuse Energy

Design and evaluate AI systems for real-world energy applications. Responsibilities include building evaluation frameworks and datasets, experimenting with model selection, fine-tuning and reinforcement learning, developing reliable agent harnesses, analyzing failures, setting risk thresholds, and translating research into production systems. The role requires strong Python software engineering, rigorous experimentation, and judgment around cost, latency, reliability, and human oversight.

The Customer Support Specialist will be the primary contact for customers, providing excellent support, resolving issues, and offering energy-saving advice, working in shifts including overnight. The role involves collaborative work to enhance customer experience.

Own the technical strategy, architecture, delivery, and engineering team for a core business domain. Build complex production systems spanning areas such as AI, energy trading, retail, real-time generation and demand modeling, data pipelines, and customer-facing applications. Hire and lead engineers, establish team standards, make prioritization decisions in an unstructured environment, collaborate with the CTO and business stakeholders, and remain hands-on with challenging technical problems.