GENAI Developer

Key Responsibilities: Design, develop, and deploy Generative AI applications using Python. Build AI-powered chatbots, copilots, intelligent assistants, and document-processing solutions. Develop and implement RAG architectures using vector databases. Integrate and fine-tune LLMs such as GPT, Claude, Llama, Gemini, or Mistral. Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. Create REST APIs and microservices using FastAPI, Flask, or Django. Implement prompt engineering and optimize prompts for accuracy and performance. Work with structured and unstructured data including PDFs, documents, emails, and knowledge repositories. Integrate AI solutions with enterprise applications, databases, and third-party systems. Monitor, evaluate, and optimize model performance, latency, and cost. Ensure AI governance, security, responsible AI practices, and compliance standards. Collaborate with business stakeholders, architects, and engineering teams to deliver AI solutions.

Required Skills: Strong programming experience in Python. Hands-on experience with Generative AI and LLMs. Experience with: LangChain/LangGraphKnowledge of RAG, embeddings, semantic search, and prompt engineering. Experience building REST APIs using FastAPI or Flask.