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SeniorFull-timeJavaScriptPythonJavaReactVueData ScienceAgileGitAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Software Engineer to support the development of data- and AI-enabled platforms in a regulated healthcare environment. This role focuses on building backend services, integrating with modern data platforms, and enabling AI- and LLM-driven capabilities that support analytics, automation, and decision-making.
Key Responsibilities
- →Design and develop backend services and APIs using Python to support data ingestion, transformation, analytics, and AI workflows
- →Integrate applications with Databricks, Delta Lake, and cloud-native data services
- →Support batch and streaming data pipelines, including orchestration, monitoring, and reliability
- →Implement secure, scalable access patterns for curated healthcare data in alignment with payer data governance and compliance requirements
- →Design and integrate solutions that leverage Large Language Models for data exploration, summarization, workflow automation, and decision support
- →Partner with data science and platform teams to operationalize ML- and LLM-driven capabilities in production environments
- →Contribute to modern web user interfaces that surface data, analytics, and AI-driven insights
- →Apply modern UI design principles to ensure usability, accessibility, and clarity for technical and business users
- →Integrate frontend components with backend APIs and services
- →Collaborate with data architects, platform engineers, designers, and product owners to deliver end-to-end solutions
- →Participate in design reviews, code reviews, and architectural discussions
- →Contribute to agile delivery practices, including backlog refinement, sprint planning, and iterative delivery
Requirements
- ✓5+ years of professional experience in full-stack software development
- ✓Strong hands-on experience developing backend services using Python in production environments
- ✓Experience working with data platforms, analytics systems, or large-scale data processing solutions
- ✓Practical experience integrating or leveraging Large Language Models in applications or workflows
- ✓Solid understanding of modern UI design principles and frontend development concepts
- ✓Experience building and consuming RESTful APIs and working with asynchronous systems
- ✓Familiarity with cloud-native architectures and security best practices
- ✓Experience operating in regulated environments, with attention to data privacy and compliance
- ✓Hands-on experience with Databricks, Delta Lake, or Spark-based platforms
