AI / ML Engineer - Data Modeling

Core member of the founding team :

Our client is a startup building a next-generation healthcare assistant that delivers truthful, scientifically cited, and actionable health insights to both consumers and doctors. Launching first as a web app (with mobile soon to follow), the long-term vision is to evolve into a personalized health companion that integrates seamlessly with users health apps and provides comprehensive, continuous support.

The Job :

As an AI / ML Engineer - RAG Specialist, you will be a core member of the founding team, designing and deploying production-grade RAG (Retrieval-Augmented Generation) systems and semantic retrieval pipelines for our healthcare assistant. Youll be working at the intersection of AI, healthcare, and real-world impact - building scalable, accurate, and trustworthy systems that deliver scientifically cited insights to consumers and doctors.

This role is ideal for an engineer with strong expertise in LLMs, data retrieval systems, and a deep passion for applying AI to solve meaningful problems.

Key Responsibilities :

• Design, develop, and deploy production-grade RAG pipelines (Graph RAG, Neo4j, vector databases).
• Build and optimize LLM-based solutions using frameworks like LangChain, LlamaIndex, and Hugging Face Transformers.
• Create and manage scalable data pipelines for structured and unstructured healthcare data.
• Fine-tune LLMs for domain-specific accuracy, reasoning, and reliability.
• Deploy ML models on AWS SageMaker / Bedrock, build APIs / microservices for production, and ensure scalability.
• Collaborate in an agile startup environment with a high sense of ownership and end-to-end responsibility.

Ideal Candidate :

(ref : hirist.tech)