Senior Full-Stack AI Engineer: GenAI & Production

AssistRx, Inc.

Orlando (FL)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

AssistRx, Inc. seeks a Staff Full-Stack AI Engineer (Level IV) to lead senior engineering efforts with an AI focus across the healthcare specialty medication access ecosystem.

You will design, build, and deploy end-to-end production solutions spanning UI, APIs, backend services, data workflows, cloud infrastructure, and AI-enabled components. You will translate ambiguous clinical workflows into technical strategies, set standards for security, reliability, and cost efficiency, and mentor

Qualifications

  • 7+ years of professional software engineering experience delivering production systems.
  • Strong full-stack experience with web apps, REST APIs, backend services, data access and testing.
  • Experience with modern frontend frameworks (React, etc.) and cloud architecture.
  • Experience delivering LLM or GenAI capabilities in production and monitoring.

Responsibilities

  • Lead end-to-end design, development, testing, deployment, and production support for full-stack applications.
  • Build GenAI functionality and conventional app features based on initiative needs.
  • Translate business requirements into clear technical plans and measurable outcomes.
  • Design secure REST APIs, event-driven services, and scalable integrations.
  • Mentor engineers and drive cross-team collaboration and best practices.

Skills

Full-stack engineering
REST APIs
Frontend React
Cloud architecture
CI/CD
Observability
LLM/GenAI
Security & Compliance

Education

Bachelor's degree in Computer Science or related

Tools

Docker
Kubernetes
LangChain

Job description

AssistRx, Inc. seeks a Staff Full-Stack AI Engineer (Level IV) to lead senior engineering efforts with an AI focus across the healthcare specialty medication access ecosystem.

You will design, build, and deploy end-to-end production solutions spanning UI, APIs, backend services, data workflows, cloud infrastructure, and AI-enabled components. You will translate ambiguous clinical workflows into technical strategies, set standards for security, reliability, and cost efficiency, and mentor

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