Full-Time

AI Full-Stack Developer

Tax Relief Advocates

Tax Relief Advocates

Compensation Overview

$120k - $140k/yr

Irvine, CA, USA

In Person

On-site in Irvine, California.

Category
Software Engineering (2)
,
Required Skills
Microsoft Azure
Python
React.js
Node.js
Machine Learning
OpenTelemetry
Infrastructure as Code (IaC)
Microservices
Next.js
Observability
REST APIs
Web Development
Google Cloud Platform
Requirements
  • At least 3 years of full-stack development experience with expertise in solutions architecture.
  • Advanced proficiency with React and Next.js for front-end development, and Node.js and Python for backend development.
  • Strong experience designing and implementing RESTful application programming interfaces and microservices architectures.
  • Hands-on experience with Azure or Google Cloud Platform, including deployment, scaling, and infrastructure as code.
  • Demonstrated ability to integrate artificial intelligence and machine learning models into production applications.
  • A proven track record of building secure, scalable, client-facing web applications.
  • A strong understanding of enterprise integration patterns and workflow automation.
Responsibilities
  • Design and architect comprehensive full-stack solutions integrating artificial intelligence and machine learning models, conversational interfaces, backend systems, and user-facing applications.
  • Design, deploy, and maintain large-scale artificial intelligence systems with high availability, performance, and reliability in production environments.
  • Develop and integrate website chatbot front ends connected to artificial intelligence systems.
  • Design dashboards to monitor artificial intelligence outputs and training analytics.
  • Ensure web applications are secure, user-friendly, and performant.
  • Collaborate with artificial intelligence and machine learning teams and backend teams to deliver full-stack, end-to-end solutions.
Desired Qualifications
  • Experience with OpenTelemetry for distributed tracing, metrics, and observability across artificial intelligence and microservices pipelines.
  • Familiarity with LangSmith or Langfuse for large language model application monitoring, evaluation, and debugging.

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