Agentic AI Solutions Architect

Key Responsibilities

Core Platform & Application Development Full-Stack Engineering: Lead the development of custom AI platform components, including full-stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine-tuning planes and experiment tracking dashboards). Agentic Frameworks: Code and optimize multi-tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google's Agent Development Kit (ADK). Strict Architectural Implementation: Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.

Advanced Data Retrieval & Logic Engineering Next‑Generation RAG: Write the data ingestion and retrieval code for advanced RAG arch...