Build software systems to automate commissioning of AI data center infrastructure. Generate test procedures, schedules, and automated L4/L5 execution from a live knowledge graph; integrate with BMS/EPMS and ship agentic LLM tools to commissioning engineers on factory floors and live sites. Requires production coding in Go/Python/TS, LLM/agent frameworks, and field credibility with controls experts.
150k – 275k/yr
On-site5+ YOEFullstack Engineering
About the role
Responsibilities
Generate commissioning test procedures per asset from the design revision and spec, across all five levels.
Gap-check vendor FAT procedures automatically against project requirements and Tier standards.
Build the commissioning schedule as software: factory acceptance tests, witness tests, and on-site L1 through L5 sequencing across vendors, trades, and buildings, with dependencies enforced and replans computed dynamically.
Automate L4 and L5 execution through the BMS and EPMS on live sites and factory floors: drive setpoints, inject failures, and capture controller responses over open protocols.
Land every result, issue, and corrective action in the knowledge graph tied to the exact asset for automated energization gates, handover, and continuous improvement of test plans.
Requirements
Shipped production code in Go, Python, or TypeScript, and can pick up whatever language the problem needs.
Built working systems with LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks, and shipped them to real users.
Work daily in AI coding tools like Claude Code or Cursor and run agents autonomously to multiply output.
Found problems independently, designed fixes, and shipped them end-to-end without waiting for approval.
Ship fast on foundations that other engineers extend; past teammates continue to build on your work.
Earned credibility with hands-on experts (commissioning agents, controls engineers, contractors) and got them to adopt tools built in the field.
Sweat product and design details so users can tell.
Nice-to-Haves
Commissioning levels and FAT programs.
BMS/EPMS and control protocols (BACnet, Modbus).
PLC/SCADA.
Critical power and cooling equipment.
QA test automation.
Compensation & Benefits
Cash compensation range: $150,000-$275,000 (final offers may vary based on geography, experience, expertise, licenses, and other factors).
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
150k – 275k/yr
On-siteFullstack Engineering
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