AI Lead Engineer

Role: AI Lead Engineer Location: Atlanta, GA – Onsite Duration: Long term Job Summary: We are seeking an experienced AI Lead Engineer with a strong background in Python, Large Language Models (LLMs), and Prompt Engineering to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will have hands-on experience with FastAPI, Streamlit, Jinja, Hydra, and MongoDB, and will be responsible for leading the architecture and implementation of scalable AI applications. Roles and Responsibilities: • Lead the design, development, and deployment of AI and LLM-based systems for enterprise use cases. • Architect and build FastAPI-based microservices to support AI model serving and integration. • Develop Streamlit applications for AI visualization, dashboards, and interactive tools. • Implement Prompt Engineering techniques to optimize LLM responses and performance. • Utilize Jinja and Hydra for efficient configuration management and dynamic AI workflows. • Manage MongoDB databases for storing structured/unstructured AI data and conversational logs. • Collaborate with cross-functional teams (Data Science, DevOps, Product) to ensure seamless integration of AI models into production. • Drive AI system optimization, focusing on scalability, latency, and inference accuracy. • Mentor junior engineers and provide technical leadership on best practices in AI development. • Stay up to date with emerging trends in Generative AI, MLOps, and LLM frameworks. Required Skills: • Programming: Python (Advanced), RESTful APIs, Object-Oriented Design • AI/ML Expertise: LLMs (e.g., GPT, Claude, Gemini), Prompt Engineering, Model Fine-tuning • Frameworks: FastAPI, Streamlit, Flask • Configuration & Templates: Hydra, Jinja • Database: MongoDB, SQL • Tools & Platforms: Docker, Kubernetes, Git, AWS/Azure (preferred) • Other: Experience with CI/CD, version control, and API integrations