AI Engineer

Siri InfoSolutions Inc; Bellevue (WA); On-site; USD 140,000 - 220,000; Full time

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

Job Title: AI Engineer

Location: Bellevue (Seattle area), WA ( Day 1 Onsite)

Contract role

Required Skills:

• Experience designing and developing Model Context Protocol (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.

Good to have skills:

• AIOps knowledge.

Further Job Description:

• Design and develop MCP servers and tool integrations building reusable, production‑grade tools that expose 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