AI/ML Lead -Full Time Only -Dallas, TX I Tampa, FL I Jersy City, NJ ( 3 days WFO)

We are Looking for AI/ML Lead Developer for the Location of Dallas, TX I Tampa, FL I Jersy City, NJ ( 3 days WFO) Its Full Time Role Location - Dallas, TX I Tampa, FL I Jersy City, NJ ( 3 days WFO) Job Description: We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development. Key Responsibilities: • Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. • Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. • Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. • Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. • Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). • Conduct performance tuning and optimization of AI models and APIs. • Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies. Required Skills & Qualifications • 8+ years of professional experience in software development and system design. • Strong proficiency in Python and experience with FastAPI for API development. • Hands-on experience with Generative AI frameworks and RAG architectures. • Solid understanding of system and architecture design principles for distributed applications. • Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). • Familiarity with vector databases, embedding models, and retrieval pipelines. • Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications • Experience with LLM fine-tuning, prompt engineering, and model evaluation. • Knowledge of containerization (Docker) and orchestration (Kubernetes). • Exposure to CI/CD pipelines and DevOps practices.