Description

You will build and maintain backend services and AI-driven applications using Python and LLM frameworks.

This role is hybrid.

Responsibilities

• Develop RAG-based applications using Langchain and LLM APIs.
• Implement and manage vector databases such as Qdrant or Faiss.
• Build and deploy scalable web services using FastAPI, Flask, or Django.
• Integrate healthcare-specific APIs including FHIR and HL7.
• Ensure applications meet healthcare security standards.

Required Skills

• 5+ years of professional Python programming experience.
• Hands-on experience with RAG development and Langchain.
• Proficiency with vector databases (Qdrant, Faiss).
• Experience with web frameworks: FastAPI, Flask, or Django.
• Working knowledge of relational databases like PostgreSQL and MySQL.
• Experience with NoSQL databases, specifically MongoDB.
• Familiarity with healthcare data standards (FHIR, HL7).
• Understanding of healthcare application security standards.

Preferred Skills

• Experience with containerization using Docker and orchestration with Kubernetes.
• Knowledge of message brokers such as RabbitMQ or Kafka.

Key Skills

Education

Any Graduate