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# Senior Software Engineer, Agentic AI

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $127,880.0 - $191,820.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Programming Tools, Human-Computer Interaction, Python (Programming Language), TypeScript, Pulumi, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Kubernetes, Infrastructure Automation Frameworks, Front End Software Development, Virtual Agents, Docker
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/job/us51b674b5296cf3ccdb8a2fa21ad31b91/eaa

## About the Role

* 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

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, MCP, or retrieval-augmented generation

## Description

* 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


## Related Videos

- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code)

## Related Articles

- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)