Design and develop scalable backend services and APIs using Python (FastAPI/Django)
Build and deploy GenAI apps: RAG pipelines, AI agents, and LLMs
Architect end-to-end GCP solutions: data ingestion, processing, model integration
Deploy and manage services with Cloud Run, Vertex AI, and other GCP tools
CI/CD, logging, monitoring, and performance tuning
Mentor junior engineers and contribute to technical design and standards

🎯 Requirements

5–8 years of software engineering experience with Python
Backend frameworks: FastAPI and Django
RESTful APIs and scalable microservices
Google Cloud Platform: Vertex AI, Cloud Run, BigQuery, Cloud Storage
AI agents, Google ADK, and MCP
GenAI orchestration frameworks (LangChain or similar)

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