AI System architect
AhmedabadJob Overview
This role is designed for a Senior AI Engineer specializing in the cutting-edge landscape of Multi-Agent Systems and RAG architectures. You will lead the development of sophisticated AI agents using frameworks like LangGraph or CrewAI, backed by complex memory systems ranging from Vector Databases to Knowledge Graphs. Beyond simple prompting, you will orchestrate distributed systems, manage high-performance embedding pipelines, and deploy both open-source and commercial models (LLaMA, GPT, Claude) within Docker/Kubernetes environments. We are looking for a technical architect who can bridge the gap between advanced research and scalable, production-ready AI infrastructure.
Job Description
- Strong experience with LLMs, RAG architectures, and prompt engineering.
- Hands-on experience building or working with multi-agent systems (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom frameworks).
- Deep understanding of memory architectures in AI systems (vector databases, vectorless approaches, knowledge graphs, or hybrid memory systems).
- Experience deploying and managing open-source and commercial models (e.g., LLaMA, Mistral, GPT, Claude). - Proficiency in Python and AI/ML frameworks (LangChain, Haystack, or similar).
- Experience with orchestration, distributed systems, and API design. - Familiarity with embedding pipelines, retrieval systems, and document processing.
- Knowledge of containerization and deployment tools (Docker, Kubernetes).
