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

Not Disclosed

Job Description & Details

The demand for developers who can blend cloud expertise with modern front‑end frameworks and AI is exploding. Companies are racing to launch GenAI‑driven products that run at scale on Google Cloud, making senior full‑stack talent a hot commodity. This Senior Full Stack Developer role offers a chance to lead cutting‑edge AI Agent projects in a fast‑growing environment.

Job Summary

We are seeking a senior‑level full stack engineer to design, develop, and deploy cloud‑native applications on Google Cloud Platform. The role focuses on building React front‑ends, robust back‑ends, and integrating AI agent frameworks, LLMs, and generative AI workflows into enterprise‑grade solutions.

Top 3 Critical Skills Table

Skill Why it's critical Mastery Level
Google Cloud Platform (GCP) Powers the scalable, secure infrastructure for AI‑driven services Senior
ReactJS Enables responsive, modern user interfaces that interact with AI back‑ends Senior
AI Agent Frameworks / LLM integration Core to building the GenAI features the product relies on Senior

Interview Preparation

  1. Explain how you would design a microservice architecture on GCP for an AI‑agent application.
    What the interviewer is looking for: Understanding of GCP services (Compute Engine, Cloud Run, Pub/Sub), scalability, security, and how AI components fit into the architecture.
  2. Describe the steps to integrate a large language model (LLM) with a React front‑end.
    What the interviewer is looking for: Knowledge of API design, token handling, streaming responses, and UI considerations for latency.
  3. What are the trade‑offs between using Cloud Functions vs. Cloud Run for AI inference workloads?
    What the interviewer is looking for: Insight into cold‑start latency, concurrency, cost, and containerization benefits.
  4. How do you implement RAG (Retrieval‑Augmented Generation) in a production system?
    What the interviewer is looking for: Familiarity with vector stores, indexing, query pipelines, and data freshness strategies.
  5. Give an example of automating CI/CD for a full‑stack project that includes AI model deployment.
    What the interviewer is looking for: Experience with Cloud Build, Terraform, testing frameworks, and model versioning.

Resume Optimization

  • Senior Full Stack Developer
  • Google Cloud Platform (GCP)
  • ReactJS
  • AI Agent frameworks
  • Large Language Models (LLM)
  • Retrieval‑Augmented Generation (RAG)
  • Cloud‑native architecture
  • API development
  • Database integration
  • Automation workflows

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a polite greeting and attaches your updated resume. Clearly highlight your top skills—such as GCP, React, and AI‑agent integration—and reference specific projects where you delivered end‑to‑end cloud‑native solutions. Make sure to map each highlighted skill to the requirements listed in the job description.

Career Roadmap

Current Role Typical Experience Core Focus Next Position
Senior Full Stack Developer 8‑12+ years, cloud & AI expertise End‑to‑end product delivery, team mentorship Lead Full Stack Engineer
Lead Full Stack Engineer 3‑5 years leading squads, architecture ownership Strategic technical direction, cross‑team collaboration Engineering Manager
Engineering Manager 5+ years managing multiple teams, budgeting People development, roadmap execution Director of Engineering