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Software Engineer (Client Solutions)

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Onsite

Software Engineer (Client Solutions)

AKASA

Software Engineer (Client Solutions)

Skills

DockerReactPythonRPostgreSQLMachine LearningAWSGitHubKubernetesFastAPI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $170,000 / year

Location:

United States

Work mode:

Onsite

Published on:

7 August 2026

What they need


  • As a Client Solutions Software 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- Strong communication and interpersonal skills with meticulous attention to detail
  • Bachelor’s degree in Computer Science, Engineering, or similar
  • Comfortable working with relational databases, APIs, and ETL pipelines
  • Experience designing and running LLM evals (offline and online) to measure model quality and performance
  • 3+ years of professional Python experience
  • Familiarity with FastAPI, SQLAlchemy, Postgres
  • Proficiency in Docker, Kubernetes, AWS
  • CI/CD experience with GitHub Actions
  • Frontend experience (React)
  • Experience with healthcare data exchange (FHIR, HL7, EDI)

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