Python Backend Engineer

Job Summary:
We are seeking an experienced Python Backend Engineer to design, develop, and maintain scalable backend systems and APIs. The ideal candidate will have strong expertise in Python, modern backend frameworks, cloud infrastructure, databases, and AI-powered application development. This role offers the opportunity to work on cutting-edge solutions involving AI agents, large language models (LLMs), and high-performance distributed systems.
Key Responsibilities:
Design, develop, and maintain scalable backend applications and APIs using Python.
Build and optimize RESTful APIs using FastAPI, Django, or similar frameworks.
Develop and integrate AI-driven workflows using tools such as LangChain, LlamaIndex, or related frameworks.
Manage database design, performance tuning, and data integrations across SQL and NoSQL environments.
Implement secure authentication and authorization mechanisms, including OAuth2, JWT, and OpenID Connect.
Build and maintain cloud-native applications on AWS or GCP.
Develop asynchronous processing solutions and task orchestration workflows.
Collaborate with cross-functional teams to deliver scalable, reliable, and secure software solutions.
Monitor application performance and ensure system reliability and scalability.
Required Qualifications:
Strong experience in Python development (Python 3.10+ preferred).
Hands-on experience with FastAPI, Django, or similar backend frameworks.
Experience building and consuming REST APIs and microservices.
Knowledge of AI/LLM integration frameworks such as LangChain or LlamaIndex.
Strong experience with PostgreSQL and NoSQL databases such as MongoDB and Redis.
Experience with Vector Databases such as Pinecone, Weaviate, or similar technologies.
Proficiency with Docker and cloud platforms (AWS or GCP).
Experience with asynchronous programming and task queues.
Understanding of software architecture, scalability, security, and performance optimization.
Preferred Qualifications:
Experience building AI-powered or agent-based applications.
Familiarity with API Gateways, service meshes, and distributed systems.
Experience working in cloud-native and containerized environments.
Strong problem-solving and communication skills.

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.