Fullstack-AI Engineer

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 ResponsibilitiesBuild 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 SkillsFrontend:Angular / ReactRxJS and reactive programmingPythonAPI and middleware developmentAI & Platform:LLM integrations and tool callingMCP / FastMCPLangChain, LangGraphSystems & Infrastructure:Distributed systems and scalability conceptsRedis (caching, session, memory)Vector databases: Pinecone or similar#J-18808-Ljbffr