
11 - 50 employees
⚡ Energy
🤖 Artificial Intelligence
🏢 Enterprise
Energy • Artificial Intelligence • Enterprise
Gigawatt is an AI-focused software company building an enterprise-grade operating system for electric utilities. It uses large-scale AI to optimize power delivery, improve grid health and flexibility, and enhance customer experience while embedding industry-specific security and regulatory compliance. The company emphasizes rapid development cycles and utility-domain expertise to modernize legacy utility systems and enable a more resilient, efficient grid.
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11 - 50 employees
⚡ Energy
🤖 Artificial Intelligence
🏢 Enterprise
Energy • Artificial Intelligence • Enterprise
Gigawatt is an AI-focused software company building an enterprise-grade operating system for electric utilities. It uses large-scale AI to optimize power delivery, improve grid health and flexibility, and enhance customer experience while embedding industry-specific security and regulatory compliance. The company emphasizes rapid development cycles and utility-domain expertise to modernize legacy utility systems and enable a more resilient, efficient grid.
• Design, implement, and maintain APIs, services, and distributed systems that form the backbone of Gigawatt OS. • Collaborate with AI engineers to integrate models, embeddings, and agent services into backend systems. • Operate AI APIs, ensuring outputs are production-ready and aligned with enterprise utility requirements. • Transform legacy workflows into modern, secure, scalable codebases using cloud-native best practices. • Partner with security leaders to ensure all services adhere to stringent utility-sector regulations, implementing secure coding practices by default. • Deliver features and improvements in cycles measured in weeks, balancing speed with reliability.
• Bachelor’s or Master’s degree in Computer Science or related discipline. • 5+ years of backend software engineering experience in SaaS or enterprise environments. • Strong proficiency in React, Python, and Golang or Java. • Basic proficiency with AI/ML tooling (e.g., calling APIs, integrating model outputs). • Solid understanding of databases (SQL and NoSQL), message queues, and distributed architectures. • Cloud-native engineering experience (AWS, Azure, GCP). • Clear communicator, adaptable, eager to learn and grow AI capabilities over time. • Strong sense of ownership and accountability in small teams.
• Competitive salary and equity package. • Comprehensive benefits including health insurance, remote work flexibility, and 401k match. • Collaborative culture focused on innovation and impact.
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