Job Summary: We are looking for an expert Data Scientist (LLM/GenAI) to join our team. The ideal candidate will have a decent background of data science ( statistics, math, ML, DL) and good knowledge of Large Language Models (LLMs), along with hands-on experience in building and deploying development process automation in requirements, coding, testing, and maintenance. Key Responsibilities: Choose appropriate foundation model and APIs, develop, fine-tune, and deploy Large Language Models (LLMs) for various intelligent applications related to requirements, coding, testing, and maintenance activities. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Build and optimize requirements related to engineering, such as requirement generation, test case generation, requirement gap analysis, bug analysis, and mapping, Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Performance and accuracy analysis for LLM applications. Requirements Required Skills & Qualifications: Strong academic background with knowledge of statistics and mathematics 2-3 Experience in LLM/GenAI and strong Python skills Hands-on experience in developing and deploying AI solutions related to requirement engineering or other development cycle automation projects for at least a year. Experience with LLM RAG/ agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g. Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Ability to work independently and collaboratively in a fast-paced environment. Good to Have: · Proficiency in ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers · Experience in working with APIs, Docker, FastAPI for model deployment · Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. · Experience or knowledge of multimodal AI Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects and learn from senior technologists. Collaborative and innovative work environment. Competitive salary and benefits. Rapid Career growth opportunities in AI and ML research and development. Show more Show less