We are looking for a Senior AI &
Full Stack Architect to lead the design and deployment of next-generation, enterprise-grade Agentic AI applications. In this role, you will define the architectural blueprint for autonomous multi-agent systems, integrating robust Python backends, contemporary frontend interfaces, scalable cloud infrastructure, and vector databases.

Responsibilities
Agentic System Architecture: Design and orchestrate multi-agent workflows using frameworks like LangGraph, CrewAI, AutoGen, LlamaIndex, or LangChain.
Backend &
API Design:

Build scalable, event-driven microservices using Python (FastAPI, Django, Flask) supporting real-time interfaces via WebSockets, REST, or GraphQL.
Cloud &
Infrastructure:

Drive cloud-native deployments using Docker, Kubernetes, and enterprise cloud platforms (AWS, Azure, or GCP).
AI Infrastructure &
Vector Stores:

Integrate state-of-the-art vector databases (Pinecone, Qdrant, Weaviate, Pgvector) for RAG pipelines, long-term memory,



and context retrieval.
Technical Leadership: Lead full-stack technical decisions, enforce best practices for AI security/observability, and guide cross-functional engineering teams.

Qualifications
Architecture Experience: 8+ years in software architecture, solutions design, or systems engineering.
Core Stack: Deep expertise in Python (backend microservices) and familiarity with contemporary frontends (React, Next.js, or TypeScript).
Agentic &
Generative AI:

Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen), tool-calling, and autonomous AI workflows.
Distributed Systems: Solid background in event-driven architectures, microservices, and asynchronous communication models.
DevOps &
Cloud:

Hands-on experience with Docker, Kubernetes, and CI/CD on AWS, Azure, or GCP.

📌 Full Stack Architect Agentic Systems Bengaluru
🏢 Virtusa
📍 Bengaluru