AI Engineer

• Architect, develop, and implement LLM-powered and generative AI solutions utilizing both proprietary and open-source technologies (e.g., GPT-4, Llama 3, Gemini, Claude)
• Craft, refine, and test model prompts to achieve targeted outputs
• Build and maintain stateful, multi-agent workflows and autonomous AI agents using frameworks like Microsoft AutoGen, LangGraph, LangChain, LlamaIndex, and CrewAI
• Design and deploy RAG pipelines by integrating vector databases for efficient knowledge retrieval
• Serve LLMs via FastAPI-based endpoints and manage their deployment using Docker containers and orchestration tools like Kubernetes and cloud functions
• Construct data pipelines for ingestion, preprocessing, and controlled versioning of training datasets
• Partner with data scientists, software engineers, and product teams to scope and integrate generative AI initiatives

GenAI Engineer

Director Applied AI Engineering

AI/GenAI Engineer – Vice President

Lead AI Engineer

AI Architect