Principal AI & Full-Stack Systems Architect

AssistRx, Inc.

Orlando (FL)

Presencial

USD 150.000 - 230.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

AssistRx, Inc. seeks a Principal Full-Stack AI Engineer (Level V) to be the top technical authority for AI-enabled software engineering, shaping strategy while remaining hands-on in the design and delivery of the company’s most complex systems.

The role spans web apps, APIs, data flows, cloud platforms, and GenAI; you will set architectures, standards, and governance for responsible AI, HIPAA compliance, security, and production readiness across the enterprise.

Formación

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; Master’s preferred.
  • 10+ years software engineering; production AI experience.
  • Principal-level architecture and leadership across products/teams.
  • Full-stack experience with modern web apps, APIs, cloud, data, and AI.

Responsabilidades

  • Define multi-year AI strategy and reference architectures.
  • Lead architecture and delivery of complex enterprise-scale solutions.
  • Set standards for GenAI use, observability, security, and cost management.
  • Ensure AI features are cohesive, secure, and maintainable across systems.
  • Mentor engineers and influence cross-functional leaders.

Conocimientos

AI architecture
Full-stack engineering
Cloud platforms
REST APIs
CI/CD
Security & compliance
HIPAA compliance
GenAI & LLM
Observability

Educación

Bachelor’s in Computer Science or related
Master’s preferred

Herramientas

Docker
Kubernetes
LangChain
LangGraph
LlamaIndex
Semantic Kernel

Descripción del empleo

AssistRx, Inc. seeks a Principal Full-Stack AI Engineer (Level V) to be the top technical authority for AI-enabled software engineering, shaping strategy while remaining hands-on in the design and delivery of the company’s most complex systems.

The role spans web apps, APIs, data flows, cloud platforms, and GenAI; you will set architectures, standards, and governance for responsible AI, HIPAA compliance, security, and production readiness across the enterprise.

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