AI & Python- Product

Job Title: AI & Data Engineer – Healthcare SaaS Transition

Location: Bangalore, India (Remote/Hybrid)

Type: Full-Time

About the Role

We are looking for a driven AI & Data Engineer to help us accelerate our transition from a service-based model to a scalable SaaS product. You will sit at the intersection of data engineering, AI automation, and healthcare domain expertise — owning pipelines, cutting costs, and shipping smart features fast.

Key Responsibilities

• Design and automate data pipelines using Python to process, transform, and manage Excel/spreadsheet-based workflows at scale
• Conduct structured market research to identify feature gaps and opportunities relevant to a service-to-SaaS transition, and translate findings into actionable product roadmaps
• Leverage LLMs and AI tooling to automate repetitive internal tasks, reducing manual overhead across teams
• Apply AI-driven medical reasoning (clinical NLP, ICD mapping, drug-disease associations) to improve diagnostic efficiency and workflow speed
• Optimize Retrieval-Augmented Generation (RAG) pipelines for accuracy, latency, and token cost efficiency
• Implement cost-cutting strategies across cloud infrastructure, LLM API usage, and data storage without compromising performance
• Perform data analysis and generate actionable business and clinical insights from structured and unstructured datasets

Required Skills

• Proficiency in Python (pandas, openpyxl, SQLAlchemy, asyncio)
• Hands-on experience with RAG pipelines and LLM APIs (OpenAI, Anthropic, etc.)
• Familiarity with medical data standards (ICD-10, SNOMED, drug databases)
• Experience with cloud platforms (AWS, Modal, or equivalent)
• Strong analytical mindset with the ability to connect technical output to business decisions
• Understanding of SaaS product architecture and feature lifecycle

Nice to Have

• Experience with vector databases (Pinecone, Weaviate, Chroma)
• Background in healthcare or pharma domain
• Prior work in service-to-product company transitions