AI Full Stack Developer - Python and Angular

About

Looking for strong Full Stack Engineers with hands‑on experience in Angular-based frontend development and a solid understanding of AI-driven systems and MCP-based architectures to work on a scalable LLM-powered conversational platform.

This role is ideal for engineers who have hands on experience in building end-to-end systems — from real‑time conversational UIs to distributed backend services integrating LLMs and agent frameworks.

Key Responsibilities

• Build and maintain LLM driven enterprise level applications in real production environment.
• Design and develop MCP tools using Python, FastAPI, or similar frameworks
• Maintain multiple MCP services and LLM integrations.
• Develop Angular‑based conversational user interfaces with real‑time updates.
• Design scalable architectures capable of supporting high concurrency.
• Implement monitoring, logging, and tracing for AI workflows.
• Continuously optimize latency, cost, and response quality.
• Implement and support multi‑agent architectures with context sharing and orchestration
• Implement WebSocket‑based communication for streaming AI responses
• Use Redis for caching, session management, and conversation memory
• Maintain scalable services for conversation state, workflow, and memory handling
• Strong understanding of API contracts and schema‑driven development.
• Understanding of Prompt engineering, Structured outputs, Tool calling patterns, Model limitations and failure modes.
• Good Understanding of Agent orchestration patterns, Role‑based agents, Task decomposition, Coordination and fallback mechanisms.

Technical Skills

Frontend

• Angular / React
• RxJS and reactive programming

Backend / API

• Python
• API and middleware development

AI & Platform

• LLM integrations and tool calling
• MCP / FastMCP
• LangChain, LangGraph

Systems & Infrastructure

• Distributed systems and scalability concepts
• Redis (caching, session, memory)
• Vector databases: Pinecone or similar