ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.

ON.energy is investing in AI as a horizontal capability across the business, from corporate functions to field operations and OT environments. We're standing up a small team to drive adoption, and we're hiring an AI Engineer to build the systems that make it real.

You'll partner closely with our Program Manager, AI Enablement, who owns the roadmap and drives adoption across departments. Your job is to ship: prototype quickly, harden what works, and build the technical patterns the rest of the company will reuse. This is a hands-on builder role with high visibility. The CTO is the executive sponsor for AI Enablement, your work will be in front of executives regularly, and the systems you ship will touch most of the company within your first year.

Responsibilities Will Include

Building production AI systems end to end, from prototype through deploy and monitor
Working directly with stakeholders across Engineering, Operations, HR, Finance, and Commercial to translate workflow problems into shippable tools
Writing the evaluation harnesses, prompts, retrieval logic, and integration code that make LLM-powered features reliable
Establishing reusable technical patterns: prompt and model governance, eval frameworks, data access, deploy practices
Contributing to the technical roadmap, including where to invest, what to kill, and what's worth building in-house versus buying
Supporting the Program Manager on technical scoping for new use cases, including calling out when an out-of-the-box tool will solve the problem versus when custom work is justified

Requirements

Strong CS or related technical degree, with hands-on production experience building AI/ML systems (internships, research, or full-time work all count)
Demonstrated ability to ship: a portfolio of projects or work history that shows you take things from idea to running system, not just notebooks
Solid software engineering fundamentals, including version control, testing, code review, and deployment practices
Working knowledge of modern AI tooling: LLM APIs, RAG, evaluation, agent frameworks, vector stores
Strong written and verbal communication. You'll be in front of non-technical stakeholders regularly and the work needs to translate
Comfortable in ambiguity. We don't have a fully scoped roadmap; you'll help build it

Preferred Experience

Production experience with hosted LLM platforms (Anthropic API, Azure OpenAI, AWS Bedrock, or equivalent)
Hands-on experience with Claude Code, MCP server development, or agentic coding tools
Familiarity with Microsoft ecosystem integration (Entra ID, Graph API, M365 surfaces) for enterprise AI deployments
Experience with agent orchestration frameworks or multi-agent systems
Exposure to settings where data sensitivity and operational safety constrain what you can deploy (OT, healthcare, finance, regulated industries)
Background in energy, utilities, or other operationally complex sectors

For US-based Roles - What You’ll Get

Competitive salary + annual performance-based bonus eligibility
Medical, dental, and vision insurance
401(k) with company match
Paid time off and company holidays

For Mexico-based Roles - What You’ll Get

Competitive salary + annual performance bonus eligibility
Christmas Bonus (Aguinaldo): 30 days
Major medical expenses and life insurance
Paid time off and holidays (per local policy)

For All Roles

Professional development and growth opportunities
Opportunity to grow with a mission-driven team shaping the future of clean energy
Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com
Benefits vary by role and location and are subject to change.

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