2 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
Base Salary
$150k - $170k/yr
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.
- Provide feedback and insights that shape product and platform improvements.
- Collaborate with R&D engineering teams to build robust, scalable client solutions.
- Work with client engagement, product, and R&D teams to ensure smooth deployments, production stability, and expansion of the deployment platform.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a similar field.
- At least 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.
- Familiarity with FastAPI, SQLAlchemy, and Postgres is preferred.
- Proficiency with Docker, Kubernetes, and AWS is preferred.
- CI/CD experience with GitHub Actions is preferred.
- Experience with healthcare data exchange formats and standards including FHIR, HL7, and EDI is preferred.
- Frontend experience with React is preferred.
Benefits
- Flexible paid time off (PTO)
- Health, dental, and vision coverage
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Company-paid life insurance
- Home office stipend
- Cell phone/internet reimbursement
- Company-paid holidays
- 401(K) plan
Tech Stack
Categories
Solutions Engineering
About AKASA
AKASA builds generative AI software that automates hospital revenue cycle and mid-cycle workflows — including prior authorization, clinical documentation integrity, inpatient coding, and denials appeals — for U.S. health systems. Its platform uses custom large language models tailored to each customer and is sold as enterprise software and services. Founded in 2019 and headquartered in South San Francisco, the company is privately held and raised a Series C in 2022.