AI developer

Role Overview: As a GenAI Engineer, you will be part of the AI Engineering team responsible for developing real-world AI Agent applications using cutting-edge GenAI frameworks. Your role will involve building and deploying AI Agents, developing APIs, fine-tuning and evaluating LLMs, implementing RAG pipelines, and designing GenAI workflows for enterprise products. Key Responsibilities: - Build and deploy AI Agents with LangGraph / LangChain - Develop APIs using Python (FastAPI/Flask) - Fine-tune and evaluate LLMs (OpenAI, Llama, Mistral, etc.) - Implement RAG pipelines, embeddings, and vector search - Design end-to-end GenAI workflows for enterprise products Qualifications Required: - At least 4-8 years of experience in AI/ML, Generative AI, or backend engineering - Strong background in Python engineering - Experience with LangChain / LangGraph is a must-have - Hands-on experience in model fine-tuning and working with vector databases such as Pinecone, FAISS, and Chroma - Deployment experience on AWS, Azure, or GCP - Additional advantage for experience in MLOps, Docker, Kubernetes, OpenAI Assistants API, and building agentic workflows Please note that this is a full-time position with a remote work location.,