Principal Software Engineer - Agentic AI
PulumiRemote$190k – $220kPosted 31 March 2026
Job Description
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.
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
Integrate Neo's capabilities into Pulumi's MCP Server for agent-to-agent workflows
Collaborate with platform teams to deeply integrate agent capabilities into the CLI, SDKs, and Pulumi Cloud
You may be a good fit if you:
Are genuinely excited about agentic AI—systems that plan, act, and adapt in the real world, not just generate text
Have built production systems using LLMs, including experience with tool use, function calling, and multi-step orchestration
Care deeply about reliability and safety when AI systems take real actions with real consequences
Are comfortable across the stack—agent orchestration, backend services, and frontend interfaces
Have strong Python and TypeScript skills (our primary languages) and can pick up new environments quickly
Bring a product mindset: you think about what users need, not just what's technically interesting
Communicate clearly and work well with a distributed team
Strong candidates may also have:
Experience with cloud infrastructure (AWS, Azure, GCP) or infrastructure-as-code tools
Background in building developer tools, CLIs, or platform engineering systems
Familiarity with container orchestration (Kubernetes, Docker)
Experience building evaluation frameworks and benchmarks for AI systems
Knowledge of prompt engineering, fine-tuning, or retrieval-augmented generation
Compensation
Base Salary: $190,000-220,000
All full-time employee offers at Pulumi include base salary, bonus or variable, equity and benefits (details below).
Benefits Perks at Pulumi:
Healthcare Coverage: We offer comprehensive medical, dental, vision, and supplemental insurance at no cost to U.S. employees. Internationally, we comply with local healthcare requ ... (truncated, view full listing at source)
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