AKASA aims to solve the business and technical problem of streamlining healthcare revenue cycle operations by leveraging generative AI. The company seeks to empower health systems to capture and communicate the full patient clinical journey more effectively, leading to improved clinical quality, documentation accuracy, and operational efficiency.
Requirements
- 3+ years of professional Python experience
- Comfortable working with SQL, relational databases, APIs, and ETL pipelines
- Familiarity with FastAPI, SQLAlchemy, Postgres.
- Proficiency in Docker, Kubernetes, AWS.
- CI/CD experience with GitHub Actions.
- Experience with healthcare data exchange (FHIR, HL7, EDI)
- Frontend experience (React)
Responsibilities
- Execute implementation tasks for new deployments — from requirements analysis to configuration, testing, rollout, and support of production health.
- Work with client engagement teams to guide customers through technical onboarding, integration setup, troubleshooting, and data acquisition
- Contribute feedback and insights that shape product and platform improvements
- Work closely with R&D engineering teams to build robust scalable client solutions
- Work on the lifecycle and deployment of the ML models that power our products.
- Ensure smooth deployments, ongoing production stability and expansion of our deployment platform.
Other
- Bachelor's degree in Computer Science, Engineering, or similar
- Strong communication and interpersonal skills with meticulous attention to detail
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
