Key Responsibilities

• Design scalable system architecture, APIs, and data models
• Write detailed technical specifications and AI context rules
• Build and manage end-to-end RAG pipelines
• Develop multi-agent workflows using LangGraph, LangChain, AutoGen, or similar frameworks
• Design Human-in-the-Loop (HITL) validation workflows
• Review, audit, and optimize AI-generated code for quality, security, and performance
• Develop backend APIs and lightweight frontend applications
• Drive rapid AI-assisted development with strong CI/CD and testing practices

Requirements

• Strong Computer Science fundamentals (DSA, System Design, Distributed Systems)
• AI Agent Frameworks (LangGraph, LangChain, AutoGen)
• RAG Architecture, Vector Databases, Embeddings, Hybrid Search
• AI IDEs & Tools (Cursor, Windsurf, GitHub Copilot, Claude Code, Aider, Codex CLI)
• Prompt Engineering & Context Engineering
• Cloud Platforms (Azure, AWS, or GCP)
• REST APIs, Async Programming
• Automated Testing & CI/CD Pipelines
• Strong Code Review & AI-generated Code Auditing

Skills Required