Healthcare AI Engineer

3+ years of professional experience building and maintaining Python applications (FastAPI, Flask, or Django), preferably in a cloud-native environment Strong familiarity with Gen AI foundation model frameworks like LangChain and modern Python async programming Experience with relational databases (PostgreSQL, MySQL) and caching solutions (Redis) Proficiency with async frameworks, Celery or RQ for background jobs, and FastAPI/Flask for API development Experience with Python web frameworks and RESTful API design patterns Solid understanding of modern JavaScript frameworks (e.g., React) and front-end integration Developed and integrated RESTful APIs to interact with AWS Bedrock foundation models Familiarity with AWS (ECS, RDS, Bedrock, S3, Lambda) or comparable cloud environments Experience integrating AI/ML models into web applications Understanding of data security, user permissions, and audit trails in a healthcare or regulated setting Strong git workflow, testing practices (pytest, unittest), and familiarity with CI/CD tools (e.g., GitHub Actions, CircleCI)

Lead development of cloud-based Python applications integrating AI/ML (GenAI, predictive models, NLP) using frameworks like LangChain Build LLM-powered agents using modern agentic frameworks Collaborate with data scientists to turn models into robust, scalable APIs and user-facing tools Design and implement application features using AI-driven insights Architect secure, performant backend services and databases in a HIPAA-compliant environment Ensure robust DevOps, testing, and monitoring pipelines for AI features Translate requirements into full-stack solutions Establish processes for human-in-the-loop feedback, governance, and review cycles Contribute to build vs. buy/license decisions for AI applications Document development patterns, model interfaces, and deployment pipelines Participate in agile ceremonies and cross-functional brainstorms