About the Role
We are looking for a strong AI Engineer / Data Scientist / Generative AI Engineer to build intelligent AI-powered applications for the financial services domain. The role involves working across NLP, LLMs, RAG, semantic search, machine learning, and production-grade AI application development.
The ideal candidate should be a strong hands-on individual contributor with excellent Python and backend development skills and experience taking AI solutions from development to production.

Key Responsibilities
Design and develop intelligent AI/ML and Generative AI applications using NLP and LLM techniques to solve real-world business problems.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured data.
Integrate and orchestrate LLMs/SLMs for question answering, summarization, semantic search, and document understanding.
Develop and maintain RESTful APIs, including synchronous and asynchronous APIs, using FastAPI, Flask, or similar frameworks.
Apply advanced prompt engineering and prompting techniques to improve LLM performance.




Build semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases such as FAISS, Pinecone, or Weaviate.
Develop NLP solutions involving NER, text classification, intent detection, embeddings, sentiment analysis, and document understanding.
Build, train, and evaluate Machine Learning and Deep Learning models for NLP and structured data use cases.
Monitor, evaluate, and optimize LLM/SLM performance using real-world data to improve accuracy, relevance, latency, and reliability.
Work with LLMOps/MLOps tools for model monitoring, evaluation, experimentation, and versioning.
Develop traditional ML models for structured data analysis and predictive use cases.
Collaborate with cross-functional teams to identify system issues, business opportunities, and areas for improvement.
Participate in solution design and implementation across current and existing projects.

📌 Data Scientist (India)
🏢 Bajaj FinServ
📍 India