Job Description
Job Description:
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.
Responsibilities
- :Architect and deliver end-to-end AI-powered solutions for high-tech clients using GCP-native components and Agentic AI frameworks
- .Design scalable backend services using Python (FastAPI, Flask, or Django) and integrate them with LLMs and autonomous agent frameworks (LangChain, AutoGen, CrewAI)
- .Define solution architectures leveraging GCP services such as Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, and Firestore
- .Lead the design and implementation of frontend applications using React, Angular, or Vue, ensuring seamless UX/UI integration with AI capabilities
- .Collaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmaps
- .Drive technical workshops, POCs, and architectural reviews focused on AI/ML and cloud transformation strategies
- .Implement and optimize vector database integrations (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on GCP
- .Define and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using GCP tools like Cloud Build, Artifact Registry, and Cloud Monitoring
- .Provide architectural guidance and mentorship to distributed engineering teams following Agile delivery models
.