Senior Full Stack Developer (GCP + React + AI Agents)
Not Disclosed
Location: Richardson, TX
Job Type: Full-time
Salary: Competitive
Duration: Not Specified
Experience: 8-12+ years, Full Stack, GCP, React, AI
Job Description & Details
"The demand for developers who can blend cloud expertise with modern front\u2011end frameworks and AI is exploding. Companies are racing to launch GenAI\u2011driven products that run at scale on Google Cloud, making senior full\u2011stack talent a hot commodity. This Senior Full Stack Developer role offers a chance to lead cutting\u2011edge AI Agent projects in a fast\u2011growing environment.\n\n# Job Summary\nWe are seeking a senior\u2011level full stack engineer to design, develop, and deploy cloud\u2011native applications on Google Cloud Platform. The role focuses on building React front\u2011ends, robust back\u2011ends, and integrating AI agent frameworks, LLMs, and generative AI workflows into enterprise\u2011grade solutions.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|---|---|---|\n| Google Cloud Platform (GCP) | Powers the scalable, secure infrastructure for AI\u2011driven services | Senior |\n| ReactJS | Enables responsive, modern user interfaces that interact with AI back\u2011ends | Senior |\n| AI Agent Frameworks / LLM integration | Core to building the GenAI features the product relies on | Senior |\n\n# Interview Preparation\n1. **Explain how you would design a microservice architecture on GCP for an AI\u2011agent application.**\n *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.\n2. **Describe the steps to integrate a large language model (LLM) with a React front\u2011end.**\n *What the interviewer is looking for:* Knowledge of API design, token handling, streaming responses, and UI considerations for latency.\n3. **What are the trade\u2011offs between using Cloud Functions vs. Cloud Run for AI inference workloads?**\n *What the interviewer is looking for:* Insight into cold\u2011start latency, concurrency, cost, and containerization benefits.\n4. **How do you implement RAG (Retrieval\u2011Augmented Generation) in a production system?**\n *What the interviewer is looking for:* Familiarity with vector stores, indexing, query pipelines, and data freshness strategies.\n5. **Give an example of automating CI/CD for a full\u2011stack project that includes AI model deployment.**\n *What the interviewer is looking for:* Experience with Cloud Build, Terraform, testing frameworks, and model versioning.\n\n# Resume Optimization\n- Senior Full Stack Developer\n- Google Cloud Platform (GCP)\n- ReactJS\n- AI Agent frameworks\n- Large Language Models (LLM)\n- Retrieval\u2011Augmented Generation (RAG)\n- Cloud\u2011native architecture\n- API development\n- Database integration\n- Automation workflows\n\n# Application Strategy\nWhen 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\u2014such as GCP, React, and AI\u2011agent integration\u2014and reference specific projects where you delivered end\u2011to\u2011end cloud\u2011native solutions. Make sure to map each highlighted skill to the requirements listed in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|---|---|---|---|\n| Senior Full Stack Developer | 8\u201112+ years, cloud & AI expertise | End\u2011to\u2011end product delivery, team mentorship | Lead Full Stack Engineer |\n| Lead Full Stack Engineer | 3\u20115 years leading squads, architecture ownership | Strategic technical direction, cross\u2011team collaboration | Engineering Manager |\n| Engineering Manager | 5+ years managing multiple teams, budgeting | People development, roadmap execution | Director of Engineering |\n"