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GenAI Developer

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Iris Software Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

We are seeking GenAI Developers to join our one of the direct clients, focused on building advanced integrations and connectors across leading Generative AI platforms. The ideal candidates will have strong hands-on experience in Python, MCP-based systems, and working with large language models in multi-agent environments. Please find the job description below.

Position:
GenAI Developer

Duration:
Long term contract

Must have skills:
Python, LLM, MCP

Experience level- 10+ years of total development experience.

Responsibilities
  • Design and develop GenAI-powered integrations and connectors for enterprise use cases.
  • Build and enhance platform-specific connectors for tools such as Microsoft Copilot, Google Gemini, Claude, and OpenAI
    .
  • Implement and manage MCP (Model Context Protocol) and agent-based communication patterns.
  • Work with LLMs, agent-to-agent protocols
    , and orchestration frameworks to enable intelligent workflows.
  • Collaborate closely with the AI Tools team to deliver scalable, secure, and production-ready solutions.
  • Ensure compliance with enterprise security, privacy, and governance standards.
Required Skills & Experience
  • Hands-on experience with MCP (Model Context Protocol).
  • Proven experience working with Large Language Models (LLMs).
  • Experience with Microsoft Copilot and/or other GenAI platforms.
  • Practical knowledge of agent-to-agent communication protocols and multi-agent systems.
  • Experience building APIs, connectors, or platform integrations.
Nice to Have / Bonus Skills
  • Experience integrating with Google Gemini
    , Claude
    , and OpenAI APIs
    .
  • Familiarity with AI agent frameworks and orchestration tools.
  • Experience working in an AI platform or AI tools team
    .
  • Exposure to enterprise SaaS environments and integration architectures.
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