Python Full Stack Developer

ClinDCastDallas, TX
Onsite

About The Position

We are looking for a highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based applications. 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.

Requirements

  • 15+ years of software engineering experience
  • Strong Python with Java / Go / TypeScript exposure
  • Experience building REST & gRPC APIs and microservices
  • Hands-on with AWS/Azure, Docker, Kubernetes & CI/CD pipelines
  • Experience with Terraform / CloudFormation / Pulumi (IaC)
  • LLM integration, prompt engineering & AI/ML application development
  • Familiarity with LangChain / LangGraph or similar frameworks

Responsibilities

  • Building REST & gRPC APIs and microservices
  • LLM integration, prompt engineering & AI/ML application development
  • Utilizing digital technologies to better understand and manage health
  • Providing patient-centric services, including personalized care
  • Ensuring health equity and access to care for all
  • Promoting price transparency and making healthcare more affordable
  • Streamlining prior authorizations for medications
  • Offering therapeutic alternatives
  • Promoting health literacy for informed decision-making
  • Reducing costs and improving the patient experience
  • Offering innovative solutions and expert guidance to healthcare organizations
  • Providing healthcare IT innovation
  • Implementing and optimizing electronic health records (EHR)
  • Managing data conversion
  • Handling regulatory and quality reporting
  • Performing enterprise data analytics
  • Developing FHIR interoperability strategy
  • Facilitating payer-to-payer data exchange
  • Developing application programming interface (API) strategy
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