Senior Full Stack Developer (GCP + React + AI Agents Focus)

Navitas, Inc.
Allen, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 168K

Job location

Remote
Allen, United States of America

Tech stack

API
Artificial Intelligence
C Sharp (Programming Language)
Cloud Computing
Cloud Engineering
Databases
Programming Tools
Google Cloud Platform
React
Large Language Models
Generative AI
Backend
Angular
Front End Software Development
Api Design

Job description

Work Setup: 3-5 days per week from office (Local candidates preferred - In-person interview required) Interview Process

  • First Round: Technical Discussion
  • Second Round: Delivery Discussion
  • Final Round: In-person interview in Richardson, TX, We are hiring a Senior Full Stack Developer with strong expertise in GCP, ReactJS, and backend systems, with a key focus on building and integrating AI agent-based applications., * Build end-to-end applications across frontend (ReactJS) and backend (GCP)
  • Design and integrate AI agents and agent workflows
  • Develop and manage APIs, databases, and cloud-native services on GCP
  • Work with coding agents and AI-assisted development tools
  • Ensure scalability, performance, and maintainability of applications
  • Collaborate across teams to deliver intelligent, production-ready systems, Title: Sr. Full Stack Software Engineer (Angular 8+/C#.NET) (API Experience) (100% Remote) United States - 100% Remote Job Description Under minimal supervision, participates …
  • 1 month ago

Requirements

  • Strong full stack experience (ReactJS + backend technologies)
  • Hands-on experience with GCP across services and deployments (mandatory)
  • Experience with API development, database integration, and cloud architecture
  • Solid understanding of agent frameworks and AI-driven systems
  • Experience working with or leveraging coding agents
  • Experience with LLMs, RAG, or Generative AI systems
  • Familiarity with automation workflows and orchestration tools
  • Exposure to enterprise system integrations

About the company

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