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Agentic Developers/Architects

HMG AmericaNY🇺🇸United States

Why this role stands out

Accelerate your career by architecting cutting-edge, production-ready Agentic AI systems for a forward-thinking industry leader that offers the professional flexibility of a remote-friendly work environment. You will thrive in this role if you are a skilled developer or architect with a passion for building complex, multi-agent workflows and taking innovative projects from conception to full-scale deployment. Apply today to showcase your expertise and make a significant impact in the rapidly evolving field of AI.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationNY, United States
AWSPythonLangGraph

Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Agentic Developers/Architects in New york. Below is the detailed job description.

Title: Agentic Developers/Architects

Location: New york- tri state area - Remote (US East Coast preferred)

We have requirements for Agentic Developers / Architects. A critical prerequisite for these roles is a proven track record of taking Agentic AI systems completely from POC to production environments, specifically leveraging AWS Agent Core and related architectures. No Domain requirement.

Key technical competencies we are looking for include:

  • Production Orchestration (LangGraph / Strands SDK): Experience building complex, cyclic, multi-agent workflows where agents hand off tasks to one another, handle exceptions, and recover from failures without losing state.
  • AWS Bedrock AgentCore Platform Engineering: Hands-on experience deploying containerized agent execution loops via AWS AgentCore, configuring the AgentCore Gateway for tool discovery, and managing production-grade compute isolation.
  • Enterprise Tooling & Protocol Standards (MCP): Mastery in designing standardized tool APIs using the Model Context Protocol (MCP), alongside securing automated execution runtimes like sandboxed Python Code Interpreters.

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