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Job Description

Based in Bellevue, WA, this onsite AI Engineer L1 role offers a competitive annual salary range of USD 100,000 to 180,000. The position centers on designing Model Context Protocol MCP servers and tool integrations, implementing multi-agent Agent-to-Agent workflows, and building agentic AI frameworks to support enterprise-scale operations. It presents an opportunity to contribute to a scalable AI platform with a strong emphasis on reliability, observability, and governance across the stack.

Benefits

  • Medical benefits
  • Dental benefits
  • Disability insurance
  • Paid time off including sick leave
  • Other paid and unpaid leave options

Responsibilities

  • Architect MCP servers and tool integrations to expose enterprise APIs, data sources, and services to LLM agents for real-time context retrieval and action execution.
  • Design and implement Agent-to-Agent (A2A) communication protocols to enable multi-agent workflows where specialized agents collaborate, delegate tasks, and share context for complex autonomous operations.
  • Develop and maintain agentic AI frameworks using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Azure Agentic Framework to cover agent orchestration, tool usage, memory management, and dynamic task routing at scale.
  • Own the agentic platform tooling layer by crafting reusable agent components, overseeing agent lifecycles, and ensuring reliable, observable, and governed agent execution across the AI platform.
  • Apply expertise to design and develop MCP servers and tool integrations.

Requirements

  • Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Azure Agentic Framework.
  • Ability to design multi-agent workflows and multi-agent communication (A2A) protocols.
  • Experience in Enterprise Platform Engineering.
  • Proficiency in Python.
  • Experience: 8-10 years.

Technologies

  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI
  • Semantic Kernel
  • Azure Agentic Framework
  • Model Context Protocol (MCP)
  • Python

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