Job Title : Data Scientist with Prompt Engineering

Job Description: Job Details: Position: Data Scientist with Prompt Engineering Experience: 4 to 7 Years Budget: 20 – 25 LPA Location: Pune (Hybrid – Viman Nagar) & Remote Notice Period: Immediate to 10 days Role Overview: We are seeking a highly motivated Data Scientist specializing in Generative AI and NLP with strong client-facing experience. The ideal candidate will have hands-on expertise in RAG applications, prompt engineering, and agentic AI frameworks, along with a solid foundation in traditional and modern NLP techniques. You will partner with clients to define business problems, design advanced AI/ML solutions, and deliver production-ready systems leveraging state-of-the-art Generative AI technologies. Key Responsibilities:  Collaborate with clients to understand business goals and problem statements.  Design, develop, and deploy RAG applications to enhance knowledge retrieval and improve response generation.  Work with frameworks such as LangChain, LangGraph, LlamaIndex, or similar to build scalable GenAI workflows.  Apply prompt engineering strategies to optimize LLM performance and outputs.  Leverage agentic AI concepts to design multi-step reasoning and autonomous decision-making workflows.  Develop and fine-tune NLP/GenAI models for tasks such as summarization, Q&A, entity extraction, conversational AI, etc.  Write clear, logical, and structured chains of thought when approaching problem-solving to ensure transparency and reproducibility.  Collaborate with cross-functional teams to integrate GenAI/NLP solutions into client environments.  Stay updated with the latest advancements in LLMs, GenAI, and NLP. Required Skills & Qualifications:  4–7 years of experience in Data Science, AI/ML, NLP, or GenAI projects.  Strong client-facing experience with excellent communication and presentation skills.  Hands-on expertise in RAG architectures and frameworks (LangChain, LangGraph, LlamaIndex, etc.).  Proficiency in prompt engineering and LLM-based application development.  Knowledge or practical exposure to agentic AI applications (multi-agent workflows, autonomous systems).  Strong foundation in NLP techniques (tokenization, embeddings, sentiment analysis, named entity recognition, etc.).  Solid programming skills in Python and familiarity with ML/AI libraries (PyTorch, TensorFlow, Hugging Face).  Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma, etc.).  Familiarity with cloud platforms (AWS, Azure, GCP) and deployment pipelines.  Analytical problem-solving mindset with the ability to write structured reasoning steps. Good to Have:  Experience in building end-to-end GenAI products from POC to production.  Exposure to fine-tuning LLMs and model optimization.  Understanding of data governance, security, and responsible AI practices.

Location: Pune