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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