Key skills
PythonRAIGenerative AILLMETLReactFastAPIAWSKubernetesDockerGitHub ActionsPostgresGitHubCI/CDCommunication
About this role
AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, focused on enhancing the patient clinical journey. They are seeking a Client Solutions Software Engineer to deliver client deployments, ensuring smooth integration and ongoing support of their AI-native product suite.
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
- 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
Requirements:
- Bachelor's degree in Computer Science, Engineering, or similar
- 4+ years of professional Python experience
- Experience designing and running LLM evals (offline and online) to measure model quality and performance
- Comfortable working with relational databases, APIs, and ETL pipelines
- Strong communication and interpersonal skills with meticulous attention to detail
- 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)