The ad says“Comfortable working with relational databases, APIs, and ETL pipelines”
The ad says“Proficiency in Docker, Kubernetes, AWS”
The ad says“CI/CD experience with GitHub Actions”
The ad says“Proficiency in Docker, Kubernetes, AWS”
The ad says“Experience with healthcare data exchange (FHIR, HL7, EDI)”
The ad says“Comfortable working with relational databases, APIs, and ETL pipelines”
The ad says“Familiarity with FastAPI, SQLAlchemy, Postgres”
The ad says“Experience with healthcare data exchange (FHIR, HL7, EDI)”
The ad says“CI/CD experience with GitHub Actions”
The ad says“Experience with healthcare data exchange (FHIR, HL7, EDI)”
The ad says“Proficiency in Docker, Kubernetes, AWS”
The ad says“Experience designing and running LLM evals (offline and online) to measure model quality and performance”
The ad says“Familiarity with FastAPI, SQLAlchemy, Postgres”
The ad says“3+ years of professional Python experience”
The ad says“Comfortable working with relational databases, APIs, and ETL pipelines”
The ad says“Familiarity with FastAPI, SQLAlchemy, Postgres”
Values
The ad says“Frontend experience (React)”
As a Forward Deployed Engineer, you’ll deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight
You will work on the lifecycle and deployment of the ML models that power our products
You’ll work closely with client engagement, product, and R&D teams to ensure smooth deployments, ongoing production stability and expansion of our deployment platform
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
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
Work closely with R&D engineering teams to build robust scalable client solutions
Benefits
Unlimited paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
Generous parent leave policy
Full employee coverage for life insurance
Company-paid holidays
401(K) plan
Preferred experience
Experience designing and running LLM evals (offline and online) to measure model quality and performance
Strong communication and interpersonal skills with meticulous attention to detail
Comfortable working with relational databases, APIs, and ETL pipelines
3+ years of professional Python experience
Bachelor’s degree in Computer Science, Engineering, or similar
Familiarity with FastAPI, SQLAlchemy, Postgres
Proficiency in Docker, Kubernetes, AWS
CI/CD experience with GitHub Actions
Experience with healthcare data exchange (FHIR, HL7, EDI)
