Several years of experience building and shipping software products end-to-end
Strong computer science fundamentals with frontend and backend development experience
Familiarity with GIS systems and geospatial ETLs is a significant advantage
Experience with long-running AI workflows and job orchestration is a major plus
Responsibilities
Own regulatory and permitting challenges alongside product and regulatory teams
Build and orchestrate AI agents that integrate regulations, geospatial data, and project details for risk analyses
Benchmark AI agents against human QA reports and translate findings into engineering tickets
Develop internal tools to enhance team efficiency in research and project management
Create customer-facing interfaces for project onboarding and risk analyses
Collaborate across frontend, backend, data, and infrastructure, using built solutions to address real-world issues
Benefits
Hybrid work schedule with 3 days in the San Francisco office
75% coverage of employee medical premiums
Lunch and dinner stipend provided
Office gear stipend available
Unlimited PTO with manager approval
Full Job Description
What we're looking for
We are looking for a product engineer to build AI and geospatial systems for energy and infrastructure risk analysis. You will have substantial product ownership, working directly with the team and customers to decide what to build and improve it after it ships.
You understand the problem before choosing tools or proposing solutions. No permitting experience required, but you must enjoy diving deep into complex problems and learning new domains.
You care about the details that make a product useful to customers, even when the work is tedious. You take responsibility for mistakes, accept feedback, and change your approach when the evidence calls for it. You explain decisions plainly, share context with teammates, and flag problems early so others can help. What you will do
Own regulatory and permitting problems alongside our product and regulatory teams, questioning requirements and investigating unresolved questions.
Build and orchestrate long-running AI agents that combine regulations, geospatial data, and project details into well-supported risk analyses.
Benchmark AI agents and workflows against human QA'ed reports, turn root causes into engineering tickets, and verify improvements.
Build internal tools that help our team research, manage, and deliver work more efficiently.
Build customer-facing interfaces for project onboarding, interactive maps, and risk analyses.
Work across frontend, backend, data, and infrastructure. Use what you build and fix problems based on real usage.
Our Stack
React / NextJS
Python / FastAPI / Temporal
PostgresDB / PostGIS
Kubernetes / Docker
LLMs from several providers
Maplibre
QGIS
Qualifications
Several years of experience building and shipping software products end-to-end
Strong CS fundamentals and experience across frontend and backend development
Experience with GIS systems and geospatial ETLs is a major plus
Experience with long-running AI workflows and job orchestration is a major plus
What we offer
This role is based in our San Francisco office on a hybrid schedule, 3 days a week in person with the rest flexible. We do collaboration and onboarding in person.
