Role: AI Engineer

Location: Atlanta, GA (Onsite)

Job Description:

Develops and optimizes AI applications for production, ensuring seamless integration with enterprise systems and front-end applications.

Builds scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes to serve AI models in real-world environments

Required qualifications

How You'll Make an Impact & What You'll Bring

Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI

Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization

Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows

Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.