GenAI Data Automation Engineer (Public Trust Required) (Remote Position) - Atlanta, GA

Responsibilities

• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.
• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.
• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.
• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.
• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.
• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.
• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.
• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.

Requirements

• Extensive experience developing software solutions with Python; Node.js experience is also valuable.
• Hands-on knowledge of large language model APIs and practical implementation of AI-powered application features.
• Familiarity with frameworks and tooling used for LLM orchestration, such as LangChain, LlamaIndex, or similar technologies.
• Experience working with vector databases, retrieval systems, and context-aware AI architectures.
• Understanding of the end-to-end AI and machine learning lifecycle, including development, deployment, monitoring, and maintenance.
• Background building solutions in cloud environments such as AWS, Azure, or comparable platforms.
• Solid backend engineering skills, including API development, system integration, and production troubleshooting.
• Exposure to computer vision, detection models, TensorFlow, ChatGPT, GPT, or related AI technologies is strongly preferred.