Software Engineer, Client Solutions

Akasa, Inc

$150K — $170K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or similar
  • 3+ years of professional Python experience
  • Experience designing and running LLM evals to measure model quality and performance
  • Comfortable with relational databases, APIs, and ETL pipelines
  • Strong communication and interpersonal skills with attention to detail

Responsibilities

  • Execute implementation tasks for new deployments, including requirements analysis and configuration
  • Guide customers through technical onboarding and integration setup
  • Build and own frameworks to continually measure and improve LLM performance
  • Provide feedback to influence product and platform improvements
  • Collaborate with R&D engineering to build scalable client solutions

Benefits

  • Flexible paid time off (PTO)
  • Comprehensive health, dental, and vision coverage
  • Employer contributions to Health Savings Accounts (HSA)
  • Generous parental leave policy
  • Full coverage for life insurance
  • Home office stipend
  • Cell phone/internet reimbursement
  • Company-paid holidays
  • 401(K) plan
Full Job Description
About the Role

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.

What You'll Do
  • 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

Skills & Qualifications
  • Bachelor's degree in Computer Science, Engineering, or similar
  • 3+ 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

Nice to haves
  • 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)

What We Offer
  • Flexible paid time off (PTO)
  • Expansive coverage for health, dental, and vision
  • Employer contribution to Health Savings Accounts (HSA)
  • Generous parental leave policy
  • Full employee coverage for life insurance
  • Home office stipend
  • Cell phone/internet reimbursement
  • Company-paid holidays
  • 401(K) plan

Compensation
  • Based on market data and other factors, the salary range for this position is $150,000-$170,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors

We're committed to doing the best work of our lives, together. Come see if we're the right team for you.

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