Lead Agentic AI Engineer-Production Orchestration (Remote)

VDart Inc

United States

Remote

USD 180,000 - 260,000

Part time

13 days ago
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Job summary

VDart Inc seeks a Lead Agentic AI Engineer to design and develop a production-grade enterprise Agentic AI solution using Python, LangGraph, Azure OpenAI, and Azure cloud services. This role combines senior technical leadership with hands-on engineering to deliver scalable, secure workflows.

The engineer will define agent architectures, guide the Producer/Receiver components, ensure observability and reliability, mentor juniors, and collaborate with architecture, DevSecOps, and QA teams to drive

Qualifications

  • 12+ years of software engineering experience.
  • 5+ years of Python development.
  • 2+ years of Generative AI / LLM application development.

Responsibilities

  • Own core Agentic AI engineering and leadership for the solution.
  • Define agent workflows, routing, tool calls, human-in-the-loop interactions, and multi-agent coordination.
  • Guide Producer, Receiver, and Central orchestration components to ensure consistent patterns.
  • Establish Python and LangGraph engineering standards, reusable components, coding practices, and design patterns.
  • Remain hands-on with development, code reviews, debugging, and complex workflow implementations.
  • Collaborate with architecture, platform, DevOps, security, QA, and operations teams on cloud deployment and production readiness.

Skills

Python
LangGraph
Agentic AI
Workflow orchestration
Technical leadership
REST APIs
DevSecOps
Observability
Azure OpenAI

Tools

Azure OpenAI

Job description

VDart Inc seeks a Lead Agentic AI Engineer to design and develop a production-grade enterprise Agentic AI solution using Python, LangGraph, Azure OpenAI, and Azure cloud services. This role combines senior technical leadership with hands-on engineering to deliver scalable, secure workflows.

The engineer will define agent architectures, guide the Producer/Receiver components, ensure observability and reliability, mentor juniors, and collaborate with architecture, DevSecOps, and QA teams to drive

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