AI Engineer

Siri InfoSolutions Inc
Bellevue, WA, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$140,000.0 - $180,000.0
Working hours
Shift work

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Communications Protocols Memory Management Large Language Models Multi-Agent Systems AI Platforms Virtual Agents Network Server

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

Requirements

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.

Benefits & conditions

  • $32.00-36.00 per hour $32 - $36 per hour // 1st shift (6:00 am - 3:00 pm) // 22 days of PTO // Medical, Dental, Vision, and 401K This Jobot Job is hosted by: Braden Prater Are you a fit? Easy Apply n…

  • 5 days ago + *

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

3:21 min

Navigating the ethical integration of virtual colleagues

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:50 min

Queues in TCP stacks and continuous network connections

Clemens Vasters Clemens Vasters · World Congress 2022

1:59 min

Designing governed and AI-native API platforms

Gbadebo Bello Gbadebo Bello · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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