Lead Python GenAI Developer

Position: Lead Python GenAI Developer

Experience: 12+ Years

Employment Type: Full-Time

Work Authorization: USC / GC / GC-EAD / H4-EAD Preferred

Job Description

We are seeking a highly experienced Lead Python GenAI Developer with 10+ years of software development experience and strong expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will lead the design, development, and deployment of AI-powered enterprise applications while mentoring development teams and driving technical excellence.

Required Skills

• 12+ years of hands-on experience in Python development.
• Strong expertise in Generative AI, LLMs, Prompt Engineering, and AI Agents.
• Experience with OpenAI, Anthropic Claude, Gemini, Llama, or similar foundation models.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent frameworks.
• Strong experience in designing and implementing RAG architectures.
• Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS.
• Proficiency in Machine Learning fundamentals, NLP, and AI model evaluation.
• Experience with REST APIs, Microservices, and event-driven architectures.
• Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps practices.
• Strong understanding of SQL and NoSQL databases.
• Experience with Git, Agile/Scrum methodologies, and enterprise software development.

Responsibilities

• Lead the architecture and development of enterprise-grade GenAI applications.
• Design and implement scalable RAG pipelines and Agentic AI solutions.
• Integrate LLMs with enterprise systems, APIs, and knowledge bases.
• Build intelligent chatbots, virtual assistants, and AI copilots.
• Optimize prompt engineering strategies and model performance.
• Collaborate with data scientists, architects, and business stakeholders.
• Establish AI development standards, governance, and best practices.
• Mentor and guide development teams on GenAI technologies.
• Drive solution design, code reviews, and technical leadership initiatives.
• Ensure scalability, security, and compliance of AI solutions.

Nice to Have

• Experience with Fine-Tuning, LoRA, PEFT, and model customization.
• Knowledge of AI observability and evaluation frameworks.
• Experience with Databricks, Snowflake, or Azure AI Services.
• GenAI, Cloud, or AI/ML certifications.