GENAI Developer

We are seeking a highly skilled GenAI Developer with strong Python expertise to design, develop, and deploy Generative AI solutions. The ideal candidate will have hands-on experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-based AI services. The role involves developing scalable AI solutions, integrating LLMs with enterprise systems, and optimizing AI workflows for production environments.

• 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 Lang Chain, Lang Graph, CrewAI, or Auto Gen.
• 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.

• Strong programming experience in Python
  .
• Hands-on experience with Generative AI and LLMs.
  • Experience with:
    Lang Chain/Lang Graph
• Knowledge of RAG, embeddings, semantic search, and prompt engineering.
• Experience building REST APIs using FastAPI or Flask.