AI Engineer: Multi-Agent Systems & MCP Platforms

Siri InfoSolutions Inc

Bellevue (WA)

On-site

USD 140,000 - 220,000

Full time

14 days+
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Job summary

Siri InfoSolutions Inc in Bellevue, WA is seeking an AI Engineer for an onsite contract role starting Day 1. You will design and develop MCP servers and tool integrations, exposing enterprise APIs, data sources, and services to LLM agents for real‑time context retrieval and action execution.

You will architect multi‑agent workflows and Agent‑to‑Agent (A2A) communication, enabling collaboration and task delegation among specialized agents.

Qualifications

  • Experience designing and developing MCP servers and tool integrations.
  • Hands-on experience with Agentic AI frameworks like LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework.
  • Ability to design multi-agent workflows and multi-agent communication (A2A) protocols.

Responsibilities

  • Design and develop MCP servers and tool integrations exposing enterprise APIs, data sources, and services to LLM agents for real‑time context retrieval and action execution.
  • Implement Agent-to-Agent (A2A) communication protocols architecting multi-agent workflows where specialized agents collaborate, delegate tasks, and share context for complex autonomous operations.
  • Build and manage agentic AI frameworks using LangChain, LangGraph, AutoGen, and CrewAI, Semantic Kernel, Azure Agentic Framework covering agent orchestration, tool use, memory management, and dynamic task routing at enterprise scale.
  • Own the agentic platform tooling layer designing reusable agent components, managing agent lifecycle, and ensuring reliable, observable, and governed agent execution across the AI platform.

Skills

MCP servers
Agentic frameworks
A2A design
AIOps knowledge

Job description

Siri InfoSolutions Inc in Bellevue, WA is seeking an AI Engineer for an onsite contract role starting Day 1. You will design and develop MCP servers and tool integrations, exposing enterprise APIs, data sources, and services to LLM agents for real‑time context retrieval and action execution.

You will architect multi‑agent workflows and Agent‑to‑Agent (A2A) communication, enabling collaboration and task delegation among specialized agents.

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