Job Summary:
Seeking a Software Engineer with 8+ years of experience to build and maintain core platform components for Agentic AI systems. The role involves developing scalable microservices, APIs, and orchestration frameworks for LLM-powered applications, integrating AI models, and ensuring platform reliability through testing, observability, and CI/CD automation. The ideal candidate has strong Python expertise, cloud-native development experience, and hands-on knowledge of AI/LLM integration frameworks such as LangChain or LangGraph.
Required Skills:
8+ years of software engineering experience with strong Python skills and working knowledge of Java, Go, or TypeScript.
Hands-on experience building REST/gRPC APIs, microservices, and cloud-native applications on AWS/Azure using Docker, Kubernetes, Terraform/CloudFormation/Pulumi, and CI/CD pipelines.
Experience with LLM integration, prompt engineering, or AI/ML application development, including frameworks like LangChain, LangGraph, or similar orchestration tools.
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.