About the role
We are looking for an experienced GenAI Developer to design, develop, and deploy AI-powered applications using Generative AI, Large Language Models (LLMs), RAG, AI agents, and cloud-based AI services.
Key Responsibilities- Design and develop Generative AI applications using LLMs.
- Build RAG (Retrieval-Augmented Generation) pipelines using enterprise data.
- Develop AI-powered chatbots, virtual assistants, document processing, and knowledge-based applications.
- Work with LLMs such as OpenAI GPT, Azure OpenAI, Gemini, Claude, Llama, etc.
- Implement prompt engineering, prompt optimization, and evaluation frameworks.
- Develop AI agents and agentic workflows using frameworks such as LangChain, LangGraph, or similar.
- Work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.
- Develop APIs and backend services using Python, FastAPI, Flask, or similar technologies.
- Integrate GenAI solutions with enterprise applications, databases, and cloud services.
- Implement fine-tuning, embeddings, semantic search, and document ingestion pipelines where required.
- Ensure AI applications meet requirements for security, scalability, reliability, latency, and cost optimization.
- Monitor model performance, response quality, hallucinations, and token usage.