Join AKASA as a Forward Deployed Engineer to enhance healthcare revenue cycle teams with AI-driven solutions.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You’ll work on the lifecycle and deployment of the ML models that power our products.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Forward Deployed Engineer at AKASA, the individual will focus on implementing and supporting client deployments of machine learning models that enhance healthcare revenue cycle operations. Key skills include proficiency in Python, experience with LLM evaluations, and familiarity with databases and APIs. This position is ideal for someone with a solid technical background and at least three years of experience, particularly in healthcare technology. AKASA's rapid growth and innovative approach to AI in healthcare make this an exciting opportunity for professionals looking to make a significant impact.
Joblaze insights
Quick facts
From the original posting
About AKASA
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
Standard company text repeated across AKASA's postings is omitted here.