Gigawatt

1 Job

17 Employees

About the Company

Energy powers civilization, yet the systems behind it are broken. Gigawatt is building the AI-centric operating system redefining how utilities deliver, optimize, and experience energy. Through intelligent AI modules and a connected Utility Data Fabric, we help utilities modernize without full replacement, accelerating ROI, resilience, and regulatory trust. From operations and finance to innovation and strategy, Gigawatt empowers leaders across the utility ecosystem to transform faster, stay compliant, and own their data in the AI era. Join us in building the systems behind the future of power.

Listed Jobs

Company Name: Gigawatt
Job Title: Artificial Intelligence Engineer
Job Description: Job Title: Artificial Intelligence Engineer Role Summary: Design, implement, and operationalize AI-native services for the utility sector, managing the full AI lifecycle from data ingestion to real‑time deployment while ensuring scalability, security, and production readiness. Expectations: Deliver AI solutions in a fast‑paced, high‑velocity environment; maintain high reliability and continuous improvement; collaborate closely with engineering, security, and product teams. Key Responsibilities: - Architect, fine‑tune, and deploy AI agents for utility use cases (predictive operations, customer engagement, energy optimization). - Build APIs, microservices, and orchestration frameworks that integrate AI models with enterprise systems and grid‑level data flows. - Design and maintain the entire AI pipeline—data ingestion, embeddings, retrieval, evaluation, and continuous deployment—for reliability and scalability. - Apply AI risk mitigation strategies (model drift, bias, adversarial robustness, hallucination control) in regulated environments. - Partner with software engineers, data specialists, and security teams to embed AI across product releases. - Operate with urgency to achieve weekly release cycles while balancing experimentation with production rigor. Required Skills: - Proficiency in Python and a statically typed language (Java or Go). - Experience with agent platforms and conversational AI frameworks. - Hands‑on expertise with ML/LLM frameworks (PyTorch, TensorFlow, LangChain, or equivalent). - Familiarity with vector databases, orchestration systems, and modern MLOps practices. - Strong grounding in cloud‑native architectures (AWS, GCP). - Analytical mindset, collaborative teamwork, and adaptability to ambiguity. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field. - 5+ years of applied ML/AI engineering with a proven track record of deploying enterprise‑grade AI services in production. - Experience with mission‑critical systems preferred.