Client-Facing AI Deployment Engineer (Healthcare)

AKASA; New York (NY); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Flexible PTO

Health coverage

HSA contribution

Parental leave

Life insurance

Home office stipend

Phone/internet reimbursement

Company holidays

401(k) plan

Job summary

AKASA in New York, NY is hiring a Forward Deployed Engineer to deliver client deployments, enabling healthcare revenue cycle teams to work faster, more accurately, and with greater insight. You will manage the lifecycle and deployment of ML models powering our products.

You'll collaborate with client engagement, product, and R&D teams to ensure smooth deployments, production stability, and platform expansion.

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

Responsibilities

• Execute implementation tasks for new deployments - from requirements analysis to configuration, testing, rollout, and support of production health.
• 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

Python

LLM evals

APIs

Databases

ETL pipelines

Communication

Education

Bachelor's degree in Computer Science, Engineering, or similar

Tools

FastAPI

SQLAlchemy

Postgres

Docker

Kubernetes

AWS

GitHub Actions

Job description

AKASA in New York, NY is hiring a Forward Deployed Engineer to deliver client deployments, enabling healthcare revenue cycle teams to work faster, more accurately, and with greater insight. You will manage the lifecycle and deployment of ML models powering our products.

You'll collaborate with client engagement, product, and R&D teams to ensure smooth deployments, production stability, and platform expansion.