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 skill design, 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
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, MCP, or retrieval-augmented generation
What the job involves
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