Description

You will design and implement Service-Oriented Architectures for Gen AI-powered applications using microservices and RAG architectures.

This role is on-site.

Responsibilities

• Architect microservices-based LLM solutions, including knowledge bases and AI-driven workflows.
• Lead development of AI-powered applications using Python, Flask/FastAPI, and React/Angular.
• Design and manage cloud-based AI architecture on Azure, AWS, or GCP.
• Deploy and orchestrate AI models using Kubernetes, Docker, and CI/CD pipelines.
• Implement security controls including RBAC, API security, and data privacy compliance.

Required Skills

• 6+ years of experience in software architecture, SOA, and full-stack development.
• Proficiency in Python and Flask/FastAPI.
• Frontend experience with React or Angular.
• Hands-on experience with Docker and Kubernetes.
• Cloud proficiency in Azure, AWS, or GCP.
• Experience with API-first architectures and microservices design.
• Knowledge of CI/CD pipelines and cloud-native deployments.
• Exposure to LLMs, LangChain, vector databases, and RAG pipelines.
• B-Tech or BE in an engineering discipline from a top-tier college.

Preferred Skills

• Experience with OpenAI, LLaMA, and prompt engineering.
• Knowledge of event-driven architectures and message queues.

Key Skills

Education

Any Gradute