Python AI Engineer – LLM & Agentic AI (Finance Data Platform)

About the role

The role focuses on product development using Python, LLMs, Agentic AI frameworks, and RAG architectures to help users discover, understand, and act on finance and operational data at scale. Core Python (4+ years with OOP, data structures, error handling, and production-grade development) LLM Engineering using OpenAI, Azure OpenAI, Anthropic, or open-source models

What you'll do

• Build Python services for processing and transforming structured and unstructured finance data
• Design and develop end-to-end RAG pipelines with document ingestion, chunking, embeddings, and vector search
• Build AI agents and workflows using LangChain and LangGraph
• Integrate LLMs with APIs, databases, and enterprise finance platforms
• Evaluate LLM responses for quality, relevance, accuracy, and hallucination reduction

What you need

• 4–6 yrs of experience
• Python
• LLMs
• SQL
• Pandas
• Spark
• MLOps
• B.Tech or B.E. or M.Tech

Good to have

• AWS
• Databricks
• Azure
• Data structures
• FastAPI
• REST APIs