About AKASA

AKASA is building the future of healthcare by developing AI-native solutions for some of healthcare’s most complex, consequential work. Our customers include the most innovative health systems in the country, like Cleveland Clinic, Mayo Clinic, NewYork-Presbyterian, Duke, Stanford, and Johns Hopkins. Our customer base represents 1 in 10 inpatient discharges across the United States and more than $180B+ in net patient revenue.

Our products 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 train internal models and build domain-specific harnesses to power our products and best capture clinical nuance for each customer. We hire people with high agency and good judgment. Everyone here is an owner and builder who is looking to help solve high stakes challenges every day.

We have raised over $250M in funding from investors such as Andreessen Horowitz, BOND, and Coatue. Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link).

Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, a Top Healthcare Technology Company of 2026 by Healthcare Technology Report, the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and we have been certified as a “Great Place to Work” for the past 6 years in a row.

About the Role

As a Forward Deployed 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.