Senior Forward Deployed Engineer

AKASA; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Unlimited PTO

Health/dental/vision coverage

HSA employer contribution

Generous parental leave

Life insurance coverage

Company-paid holidays

401(K) plan

Job summary

AKASA is seeking a Senior Forward Deployed Engineer to lead customer deployments in healthcare revenue cycle. You will collaborate with client teams to deploy, validate, and optimize solutions that deliver faster, more accurate insights.

You will work with product and R&D to ensure production stability and platform expansion, guiding customers through onboarding, configuration, tests, and rollout. The role emphasizes strong communication, Python expertise, APIs/ETL, and HL7/FHIR data exchange.

Qualifications

• Experience designing and running LLM evaluations (offline and online).
• Strong programming in Python with production experience.
• Ability to integrate data across systems via APIs and ETL pipelines.
• Experience with healthcare data exchange standards (FHIR, HL7, EDI).
• Frontend experience with React.

Responsibilities

• Deliver client deployments from requirements analysis to rollout and support.
• Collaborate with client engagement, product and R&D teams for deployments and stability.
• Guide customers through onboarding, integration setup, troubleshooting and data acquisition.
• Contribute feedback to shape product and platform improvements.
• Work with R&D to build scalable client solutions.

Skills

LLM evals

Python

APIs & ETL

React

Communication

Healthcare data exchange

CI/CD (GitHub Actions)

Docker & Kubernetes

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

FastAPI

SQLAlchemy

PostgreSQL

Docker

Kubernetes

AWS CI/CD

Job description

• As a Sr. Forward Deployed Engineer, you’ll deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight.
• 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
• 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

Qualifications

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