Full Stack Architect - Agentic AI Locations: Fremont, CA (Hybrid) Duration: Long-Term Experience: 14+ Years We are seeking a highly skilled and client-facing Full Stack Architect with strong expertise in Python backend development, modern front-end frameworks, and Google Cloud Platform (GCP) to lead the design of next-gen Agentic AI solutions. In this role, you will architect intelligent, cloud-native applications that leverage LLMs, autonomous agents, and GCP-native services to deliver scalable AI capabilities for high-tech customers. Required Skills: • 10+ years of experience in full stack architecture and software engineering, ideally in high-tech product or platform environments. • Strong hands-on experience with Python backend frameworks (Fast API, Flask, Django). • Proficient in frontend development using Angular with a solid understanding of UX patterns. • Hands-on experience with Agentic AI frameworks such as Lang Chain, Auto Gen, or Crew AI. • Deep knowledge of LLM APIs (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategies. • Solid experience with GCP services including Vertex AI, Big Query, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run. • Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines. • Expertise in REST, Graph QL, microservices architecture, and API gateways. • Proficient in Docker, Kubernetes (GKE preferred), and CI/CD pipelines using Cloud Build or equivalent. • Strong communication skills and ability to engage with both technical and business stakeholders. • Experience working with Agile methodologies and distributed delivery teams. • GCP Certification (e.g., Professional Cloud Architect, Professional Data Engineer) • Experience in CI/CD implementation on DevOps platforms (e.g., GitLab CI/CD, Cloud Build, Jenkins, or GitHub Actions). Familiarity with multi-cloud deployments (AWS, Azure) in addition to GCP.