Full Stack Architect (Agentic Systems)

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.