Software Engineer, Client Solutions

AKASA, LLC
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$150,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Continuous Integration Extract Transform Load (ETL) Relational Databases Electronic Data Interchange (EDI) Github Python (Programming Language) PostgreSQL Machine Learning Software Engineering
+10 more
SQLAlchemy ReactJS Fast Healthcare Interoperability Resources Large Language Models Fastapi Kubernetes Information Technology Health Level Seven International Front End Software Development Docker

Job description

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 Youll 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

Requirements

Software Engineering, Healthcare, Artificial Intelligence (AI), Patient Care, Healthcare Quality, Clinical Study Publications, Finance, Startup, Market Research, Software Engineering, * Bachelors 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)

Benefits & conditions

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, * 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.

About the company

About AKASA

At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.

Our deployments have been recognized nationally as “one of the most comprehensive real-world uses of GenAI in healthcare finance to date” (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.

Some of our recent recognitions include being named one of Americas Top Startup Employers 2026 by Forbes, #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past 6 years in a row.

We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.

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