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AI Engineer || Atlanta, GA

McKinsol Consulting IncAtlanta, GA🇺🇸United StatesPosted Sep 29, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Atlanta, GA, United States
Posted
18 hours ago
JavaScriptLLMRESTTypeScript

Job Description

AI Engineer

Atlanta, GA (Onsite)

Required Qualifications
  • 8+ years of software engineering experience, including strong hands-on development in JavaScript/TypeScript, with recent experience building, enhancing, and supporting Generative AI/LLM-based applications in production environments.
  • Experience developing, enhancing, and supporting production-grade enterprise applications or platforms.
  • Hands-on experience building Generative AI / LLM-based applications and capabilities.
  • Experience integrating applications with Large Language Models (LLMs), AI services, and enterprise APIs.
  • Understanding of key GenAI concepts including:
    • Prompt engineering
    • Retrieval-Augmented Generation (RAG)
    • AI agents and agentic workflows
    • Tool/function calling
    • Context and conversation management
    • Model evaluation and monitoring
  • Experience building and consuming REST APIs and integrating with enterprise systems and data sources.
  • Ability to troubleshoot complex production issues across application, integration, AI/model, and platform layers.
  • Experience with modern software engineering practices including source control, automated testing, CI/CD, monitoring, and production deployments.
  • Understanding of security, authentication, authorization, data privacy, and responsible AI considerations for enterprise AI applications.
Preferred Qualifications
  • Experience working on an enterprise AI platform or shared GenAI platform.
  • Experience developing AI applications using JavaScript/TypeScript- based frameworks and SDKs.
  • Experience building or supporting AI agents and multi-step AI workflows.
  • Experience with RAG, embeddings, semantic search, or enterprise knowledge retrieval.
  • Familiarity with AI observability, model evaluation, prompt/version management, usage monitoring, and cost optimization.
  • Experience integrating AI capabilities with multiple enterprise applications and APIs.
  • Familiarity with cloud-based AI services and foundation models.
  • Experience supporting business-critical applications in a production environment.
Core Skills
JavaScript / TypeScript | Generative AI | LLM Integration | AI Agents | RAG | API Development & Integration | Prompt Engineering | Production Support | AI Observability | Enterprise Application Development

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