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AI Engineer

McKinsol Consulting IncAtlanta, GA🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Atlanta, GA, United States
Posted
22 hours ago
Generative AIJavaScriptLLMRESTTypeScript

Job Description

Position : AI Engineer

Location : 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.

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