Description

In this role, you will develop innovative AI solutions that enhance patient experiences and streamline healthcare operations. Your work will involve creating intelligent systems and collaborating with various teams to ensure impactful, data-driven insights.

Requirements

• •Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• •Strong expertise in Python
• •Experience with Retrieval Augmented Generation (RAG)
• •Proficiency in Prompt Engineering
• •Knowledge of vector databases and embedding models
• •Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex
• •Experience with multi-agent libraries/frameworks like Autogen, Pydantic AI, CrewAI, Swarms
• •Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing
• •Ability to work with large datasets and perform data cleaning, transformation, and manipulation
• •Experience with version control, small and regular commits, unit tests, CI/CD, and Docker
• •Experience in Knowledge Graph Modelling is a plus
• •Experience building evaluation systems for LLMs or search
• •Cloud Platforms: AWS (SageMaker, EC2, Glue), Azure (ML Studio), Google Vertex
• •Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus
• •Strong analytical thinking and creative problem-solving skills
• •Good communication skills for collaborating with cross-functional teams and stakeholders

Tasks

• •Design and develop intelligent AI systems
• •Build advanced workflow agents and multi-agent systems
• •Create personalized health reports using AI and machine learning
• •Empower patients with data-driven insights
• •Enhance operational efficiency with AI-powered tools
• •Collaborate with product managers and data scientists
• •Ensure AI solutions meet healthcare standards

Tools & Technologies

Benefits