Metropolis
Senior Software Engineer, AI Agentic Platform
$177K–$216K
Seattle, Washington, United States · Senior · Full-time · Posted Oct 7, 2026
- Experience
- 6+ years in backend software engineering; 2+ years in agentic AI systems, LLM orchestration, or AI platform tooling.
About the job
Architect and build a production AI agent platform, orchestration infrastructure, and developer tools for deploying autonomous workflows.
What you'll do
- Build agent platform infrastructure, orchestration pipelines, tool-use abstractions, and context and memory management.
- Develop LLM routing, caching, semantic search, evaluation, tracing, and observability systems.
- Create agent SDKs and CI/CD tooling, implement security guardrails, and guide architecture and engineering standards.
What they ask for
- 6+ years of backend software engineering experience focused on distributed systems, platform infrastructure, and high-load production environments.
- 2+ years of hands-on experience architecting and deploying agentic AI systems, LLM orchestration frameworks, or AI platform tooling.
- Strong proficiency in Python or Java/TypeScript, including production experience with async concurrency, API design, and performance tuning.
- Production experience with agentic frameworks or protocols; expertise in microservices, Kubernetes, AWS, observability, and database and data systems.
Nice to have
- Advanced degree in Computer Science, Machine Learning, or a related technical field.
- Experience with customized agent harnesses, model fine-tuning, RLHF/RLAIF, security compliance, or open-source agent contributions.
Pay
$177,000.00 USD to $216,000.00 USD annually (base salary)
Tools
Python, Java/TypeScript, LangGraph, Anthropic MCP, Google ADK, AutoGen, Kubernetes, AWS
AI focus
Builds agentic AI infrastructure, LLM orchestration and inference routing, agent evaluation and observability, developer tooling, and safeguards for autonomous workflows.
Model-written summary · the original posting is authoritative