GenAI Developer

Responsibilities :

Design and develop GenAI applications using LLMs such as GPT, Llama, Gemini, or similar models. Build and optimize RAG (Retrieval-Augmented Generation) based solutions. Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions. Create and manage prompts for improved model performance and accuracy. Integrate AI solutions with APIs, databases, and enterprise applications. Fine-tune and evaluate LLMs for specific business use cases. Collaborate with cross-functional teams to deliver scalable AI solutions.

Additional Responsibilities:

Experience with model fine-tuning and AI agent frameworks. Knowledge of MLOps and AI deployment practices. Familiarity with Azure OpenAI Services.

Technical and Professional Requirements:

Strong programming experience in Python. Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG. Knowledge of LangChain, LlamaIndex, Vector Databases (FAISS, Pinecone, ChromaDB). Experience with REST APIs and cloud platforms (Azure/AWS/GCP). Understanding of Machine Learning and NLP concepts. Good problem-solving and communication skills.