Job Specifications
Company Overview
See https://gigawatt.ai
Job Summary
The AI Engineer will be at the heart of Gigawatt’s product innovation, responsible for designing, implementing, and operationalizing AI-native services that transform the utility sector. This role combines applied AI/ML expertise with strong backend engineering skills, ensuring our agentic systems are not only functional but scalable, secure, and production-ready.
As a key member of our engineering team, you will report directly to the CTO and operate within small, agile teams alongside software engineers, security experts, and product managers. You will own the full lifecycle of AI services — from data ingestion and model training to real-time deployment and monitoring — while continuously adapting to evolving requirements in a fast-moving, high-stakes industry.
Key Responsibilities
AI Systems Development: Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization.
Backend Integration: Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows.
Pipeline Ownership: Design and manage the full AI pipeline — ingestion, embeddings, retrieval, evaluation, and continuous deployment — ensuring reliability and scalability.
AI Risk Mitigation: Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, hallucination control – with sensitivity to regulated environments.
Cross-Functional Collaboration: Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader Gigawatt OS, embedding AI by design into every product release.
Speed of Delivery: Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.
Qualifications and Experience
Education: Bachelor’s or Master’s in Computer Science, Machine Learning, or related field
Experience: 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems. Track record of deploying AI services in production.
Technical Skills:
Proficiency in Python, and Java or Golang
Experience with Agent platforms
Expertise with ML/LLM frameworks such as PyTorch, TensorFlow, LangChain, or equivalent.
Experience with vector databases, orchestration frameworks, and modern MLOps practices.
Strong grounding in cloud-native architectures (AWS, GCP).
Soft Skills:
Analytical, collaborative, and comfortable with ambiguity. Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor.
Location
Remote with plans to open offices in Nashville, Austin, Chicago.
What We Offer
Competitive salary and equity package.
Opportunity to shape security for a transformative AI product in a vital industry working with a rock-star team.
Comprehensive benefits including health insurance, remote work flexibility, and 401k match.
Collaborative culture focused on innovation and impact.
If you are passionate about securing the future of AI in utilities, apply today
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 ...
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