Senior Software Engineer, Agentic AI

We're building an autonomous infrastructure engineering agent: think Claude Code, but for your cloud. If you're excited about agentic AI systems that solve impactful problems for engineers, developers, and security experts at innovative startups and iconic enterprises alike, this role is for you.

Neo is Pulumi's answer to what infrastructure engineering looks like in an AI-first era. It's a virtual infrastructure teammate that understands your cloud environment, plans and executes multi-step operations, and brings domain expertise to problems ranging from spinning up complex ML infrastructures to cloud migrations to continuous compliance enforcement.

What makes Neo possible is infrastructure-as-code: by modeling cloud infrastructure in code space, we can leverage the fact that LLMs are already excellent at coding to affect cloud infrastructure changes. Combined with Pulumi's registry and petabytes of deployment history, we have a unique foundation for building infrastructure intelligence.

We're looking for engineers to build all aspects of Neo: from agent orchestration and tool interfaces to the web experience where users watch Neo work, approve operations, and understand its reasoning, to the interface with the models and how we orchestrate and fine-tune them to maximize impact. We seek bold thinkers to reimagine the entirety of cloud
engineering.

While Pulumi is headquartered in Seattle, WA., we are dedicated to being a remote first company. This role will be located remotely within the U.S., with a preference for candidates based in Pacific Time Zone locations.

Responsibilities

• Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more
• Design tool interfaces that give the agent semantic understanding of cloud resources and access to engineering workflows
• Develop the context systems that help Neo understand each customer's infrastructure patterns and usage
• Create the feedback loops and self-correction mechanisms that make autonomous operation reliable
• Build evaluation frameworks to measure agent performance across Neo's capability areas: migrations, compliance, cost optimization, diagnostics, and more
• Work on the web interface where Neo operates as a "virtual teammate"—task assignment, progress visibility, approval workflows
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