Senior Full-Stack AI Engineer - Generative AI | Remote

Revel IT

Columbus (OH)

Remote

USD 96,000 - 165,000

Full time

2 days ago
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Job summary

Revel IT is seeking a Senior AI Software Engineer to drive the design and delivery of Generative AI powered full stack applications for millions of learners and educators. You will work on the AI Platform, spanning frontend to cloud infrastructure, with a focus on scalable, secure, and accessible solutions.

You will collaborate with data scientists, product managers, and engineers, contribute to CI/CD, and optimize RAG implementations while adhering to WCAG 2.2 AA standards.

Qualifications

  • 5+ years in product or enterprise software development on distributed teams.
  • Full stack experience with modern frameworks and databases.
  • Hands-on generative AI with RAG and accessible web features.
  • Experience with testing, monitoring, and deployment pipelines.

Responsibilities

  • Design, build, and maintain AI platform tools and gen AI apps.
  • Integrate AI across frontend, backend, and cloud infrastructure.
  • Implement and optimize RAG solutions.
  • Develop accessible software meeting WCAG 2.2 AA.
  • Collaborate with data scientists, product managers, and engineers.
  • Contribute to CI/CD pipelines and cloud infra focusing on performance and security.
  • Promote engineering best practices for quality and privacy.

Skills

Angular/React
Python/Node.js
SQL/NoSQL databases
AWS/Azure
RAG/Generative AI
WCAG accessibility
CI/CD pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Job description

Revel IT is seeking a Senior AI Software Engineer to drive the design and delivery of Generative AI powered full stack applications for millions of learners and educators. You will work on the AI Platform, spanning frontend to cloud infrastructure, with a focus on scalable, secure, and accessible solutions.

You will collaborate with data scientists, product managers, and engineers, contribute to CI/CD, and optimize RAG implementations while adhering to WCAG 2.2 AA standards.

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