AI Engineer

LTD Global
Washington, DC, United States
about 1 month 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
$140,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

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

Job description

We are seeking a dynamic and innovative AI Engineer to join our forward-thinking technology team. In this role, you will lead the development, implementation, and optimization of cutting-edge artificial intelligence solutions that drive business insights and operational excellence. Your expertise will empower our organization to harness the full potential of AI and machine learning technologies, transforming complex data into actionable strategies. This is an exciting opportunity for passionate professionals eager to shape the future of intelligent systems in a fast-paced environment.

Requirements

  • Experience in IT minimum- 15 Years
  • AI/ML Experience- 3 Years
  • Data Engineering - 6 Years
  • 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
  • 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

Pay: $140,000.00 - $150,000.00 per year

Experience:

  • Lan graph: 8 years (Required)
  • LLM: 8 years (Required)

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Good distractions

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