Platform Engineer, AI Agent Systems

Geothermal energy is the most abundant renewable energy source in the world. There is 2300 times more energy in geothermal heat in the ground than in oil gas coal and methane combined. However historically its been hard to find and expensive to develop. At Zanskar were using better technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.

Zanskar uses proprietary geophysical models and subsurface data to find geothermal resources faster than anyone else. Were building the infrastructure that lets our team put AI agents to work on that data safely. We need a Platform Engineer to own that infrastructure: the systems that let agents operate on sensitive company data and models without creating pathways for that data to be deleted altered or exfiltrated. The work isnt theoretical we have proprietary subsurface models and geophysical datasets that cannot leave our environment and we need agents that can work with them in production today.

Success in this role centers on two tightly related workstreams that share the same hard underlying problem: letting agents operate on sensitive company data and models safely. Youll design and operate the production systems that run agentic workflows inside our infrastructure as well as support a self-service layer for our internal teams to deploy agent-based tools and agent-built internal apps.

Youll own the access control architecture that governs what agents can read write and call in both production and sandboxed experiments explicit trust boundaries revocable credentials and audit trails that hold up under scrutiny. Throughout youll partner directly with scientists engineers finance legal and comms to understand what they need what theyll accidentally break and how to make the on-ramp fast without compromising the guardrails.

Within six months youll have foundational agent-deployment infrastructure running in production a sandbox environment that internal teams are actively using to build tools and an access-control and observability model that lets Zanskar expand agent usage safely as the company grows.

• A Platform Engineer First: You have 3 years building and operating internal APIs platform services or backend infrastructure. You reach for containerized environments naturally think in terms of service-to-service auth and secrets management and you know what observability actually requires not just that its important.

• Fluent in How Agents Fail: You have worked with LLM tool-use or function-calling in a production or near-production context. You understand hallucinated tool calls unbounded loops and context bleed not just as concepts but as things youve had to diagnose and contain. You have hands-on experience with at least one agentic framework and its operational tradeoffs.

• Security-Minded by Default: You dont treat access controls as a bolt-on. You design systems where the path of least resistance is also the safe path. Youve thought about what happens when a component is compromised not just when it works correctly.

• Comfortable With Unsolved Problems: There is no playbook for safely deploying proprietary AI agents at the speed a small technical team needs. Youre the kind of engineer who figures out the right approach rather than waiting for one to arrive. You do your best work when the problem is real and the constraints are hard.

• Experience with multi-tenant systems where isolation between environments is a hard requirement not a best-effort.

• Familiarity with model serving infrastructure and the patterns that apply when the model itself is proprietary.

• Experience with data access patterns in scientific or geospatial contexts raster/vector data large file stores or similar environments where data sensitivity and file size create real engineering constraints.

• Experience managing LLM provider integrations at the API layer cost observability rate limiting failover logic or gateway tooling. Single-provider depth is fine; understanding when and why youd need to abstract to multi-model is what matters.

• Familiarity with or interest in frontend development the systems youre building will help users deploy their apps to share across the company.

• Experience in Python TypeScript Golang Pulumi or Kubernetes youll be involved with infrastructure tooling that uses aspects of each while setting up frameworks for the company.

• The position is located in Salt Lake City UT

• Full-time; salaried

• Paid holidays

• 18 days PTO PTO accrual increase based on tenure

• Medical Dental & Vision coverage

• Equity Packages

• 401k

• Paid Parental Leave

• A direct impact in displacing carbon emissions and growth opportunities in a growing startup environment