Staff Software Engineer – Core AI Platform, MCP & Agent Infrastructure

Role Overview

• Architect MCP-first platforms
• Build federated context systems
• Lead agent-to-tool communication design
• Enable conversational agent ecosystems
• Drive technical leadership
• Operate at scale

Requirements

• B.S. in Computer Science or related discipline (M.S. preferred)
• 8+ years of experience building large-scale, distributed backend systems
• Deep distributed systems expertise: Microservices, async/event-driven systems, and fault-tolerant architectures
• Strong backend programming skills: Java, Scala, Go, or Python with solid object-oriented design principles
• Concurrency & async programming: Multi-threading, non-blocking I/O, and message-driven architectures
• API & protocol design: Experience designing extensible APIs and protocol-based integrations
• Production systems experience: Operating 24x7 multi-tenant services with SLAs and on-call ownership
• MCP (Model Context Protocol) expertise: Hands-on experience building or operating MCP servers or similar agent protocols
• Federated systems: Experience integrating with external services across trust boundaries
• Agent & LLM platforms: Experience building AI agent infrastructure (LangChain, LangGraph, CrewAI, AutoGen, etc.)
• AWS cloud-native: EC2, ECS/EKS, Lambda, SQS, DynamoDB, CloudWatch
• Infrastructure as Code: Terraform, OpenAPI, CI/CD pipelines
• Security: OAuth, token exchange, secrets management, and multi-tenant isolation.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• DynamoDB
• EC2
• Java
• Microservices
• Python
• Scala
• Terraform
• Go

Benefits

• Compensation varies based on a variety of factors
• Bonuses and commission plans
• Benefits offerings and equity awards