Join a team focused on transforming healthcare by developing advanced AI/ML solutions. This role involves designing and building intelligent, cloud-native applications and automation workflows using cutting-edge technologies.

Work on impactful projects that leverage Generative AI, Agentic AI, LLMs, and RAG patterns to address enterprise challenges in talent acquisition and provider services. You will contribute to creating and maintaining frameworks that enhance operational efficiency and accuracy.

This is an opportunity to collaborate with cross-functional teams, including business stakeholders, architects, and product owners, to translate requirements into scalable and secure production-ready solutions. Ensure adherence to high standards of code quality, testing, documentation, and enterprise engineering practices.

Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents. Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases. Create and maintain automation frameworks, validation engines, and data extraction capabilities. Collaborate with stakeholders to translate requirements into scalable technical solutions. Ensure code quality, CI/CD readiness, testing coverage, and adherence to enterprise standards.

A graduate degree or equivalent experience is required. Possess 3-5 years of professional experience in software engineering, cloud application development, automation, or AI solution delivery. Demonstrate a minimum of 3 years of hands-on experience with .NET, Python, SQL, application development, and enterprise solution implementation. Have at least 2 years of experience delivering AI, Agentic AI, LLM, GenAI, or RAG projects in a production environment. Showcase strong experience with Azure and/or GCP cloud platforms, including cloud-native design and deployment. Exhibit hands-on knowledge of LLM and Agentic frameworks (e.g., LangGraph, LangChain) and AI productivity tools (e.g., GitHub Copilot, Claude).