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 quick.

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)
Robust 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

📌 Ai & Python Product Bengaluru
🏢 Vidal Healthcare Services
📍 Bengaluru