Delivers and supports client deployments of healthcare ML solutions, including integrations, production stability, and LLM evaluation frameworks. Requires a bachelor's degree, 3+ years of Python experience, and familiarity with databases, APIs, and ETL pipelines.
150k – 170k/yr
Hybrid3+ YOESolutions Architecture
About the role
Responsibilities
Execute implementation tasks for new deployments, including requirements analysis, configuration, testing, rollout, and production support.
Guide customers through technical onboarding, integration setup, troubleshooting, and data acquisition.
Build and own evaluation frameworks to continuously measure and improve LLM performance across customer deployments.
Contribute feedback and insights that shape product and platform improvements.
Collaborate with R&D engineering teams to build robust, scalable client solutions.
Requirements
Bachelor's degree in Computer Science, Engineering, or a similar field.
3+ years of professional Python experience.
Experience designing and running offline and online LLM evaluations to measure model quality and performance.
Comfort working with relational databases, APIs, and ETL pipelines.
Strong communication and interpersonal skills, with meticulous attention to detail.
Nice-to-Haves
Familiarity with FastAPI, SQLAlchemy, and Postgres.
Proficiency in Docker, Kubernetes, and AWS.
CI/CD experience with GitHub Actions.
Experience with healthcare data exchange, including FHIR, HL7, and EDI.
Frontend experience with React.
Compensation and Benefits
Salary range: $150,000–$170,000 plus equity.
Flexible paid time off (PTO).
Health, dental, and vision coverage.
Employer contribution to Health Savings Accounts (HSA).
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