Job Description

Data Scientist with Prompt Engineering

Experience: 4 to 7 Years

Location: Pune

Work Mode: Hybrid

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
Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Experience:

Prompt Engineering: 5 years (Required)
Work Location: In person