Full Stack Architect (Agentic Systems)

Virtusa; Hyderabad, Chennai, Bengaluru; Híbrido; INR 350.000 - 550.000; Jornada completa

Descripción de la vacante

Virtusa is seeking a Senior AI & Full Stack Architect to lead design and deployment of agentic AI applications. You will architect autonomous multi-agent systems, integrating Python backends, modern frontends, scalable cloud infra, and vector databases.

Responsibilities include architecting agentic workflows, building scalable microservices, and guiding cross-functional teams while ensuring AI security and observability throughout the stack.

Formación

• 8+ years in software architecture or systems engineering.
• Deep Python backend and modern frontend knowledge (React/Next.js/TypeScript).
• Hands-on with agentic AI frameworks and tool-calling.
• Experience with event-driven microservices and async models.
• Cloud deployments using Docker, Kubernetes, and AWS/Azure/GCP.

Responsabilidades

• Design multi-agent architectures and orchestration workflows.
• Lead backend/API design for real-time interfaces via WebSockets/REST/GraphQL.
• Drive cloud-native deployments on Kubernetes and cloud platforms.
• Integrate vector stores for RAG, memory, context retrieval.
• Provide technical leadership and enforce AI security and observability.

Conocimientos

Python

React

Next.js

TypeScript

Distributed Systems

DevOps

Cloud (AWS/Azure/GCP)

AI Infrastructure

Full Stack Architecture

Herramientas

LangGraph

CrewAI

AutoGen

LlamaIndex

LangChain

Docker

Kubernetes

WebSockets

GraphQL

Descripción del empleo

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, modern 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 modern 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: Strong 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.