AI Engineer

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 provides a new class of power technology proven at gigawatt scale and trusted by the worlds 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 were scaling faster than the grid can transforming power from a bottleneck into a competitive advantage for the companies building the future.

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

Youll 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 whats 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. Youll be in front of non-technical stakeholders regularly and the work needs to translate
• Comfortable in ambiguity. We dont have a fully scoped roadmap; youll 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

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For US-based roles - What youll 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 youll 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: 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
• Benefits vary by role and location and are subject to change.