Ai Engineer
AppLab Systems Inc
Bellevue, WA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$160,000
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Application Programming Interfaces (APIs)
Artificial Intelligence
Microsoft Azure
Communications Protocols
Information Engineering
Extract Transform Load (ETL)
Memory Management
Systems Integration
LangChain
Large Language Models
Multi-Agent Systems
+10 more
Agentic-AI
AI Platforms
Information Technology
CrewAI
AutoGen
Model Context Protocol
Semantic Kernel
Network Server
AIOps
Agent2Agent Protocol
Job description
- Design and develop MCP servers and reusable production-grade tool integrations 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 and architect multi-agent workflows where specialized agents collaborate, delegate tasks, and share context.
- Build and manage enterprise-scale Agentic AI solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework, including orchestration, memory management, tool integration, and dynamic task routing.
- Own the agentic platform tooling layer by designing reusable agent components, managing agent lifecycle, and ensuring reliable, observable, secure, and governed agent execution across the AI platform.
Requirements
- Minimum 15 years of overall IT experience.
- 3 years of AI/ML experience OR
- 6 years of Data Engineering experience.
Mandatory Skills
- Experience designing and developing Model Context Protocol (MCP) Servers and Tool Integrations.
- Strong hands-on experience with Agentic AI frameworks:
- LangChain
- LangGraph
- AutoGen
- CrewAI
- Semantic Kernel
- Azure Agentic Framework
- Expertise in designing multi-agent workflows and Agent-to-Agent (A2A) communication.
- Experience with AIOps.
- Experience building and managing ETL Pipelines.
- Hands-on experience with n8n.
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