Description

Design and implement enterprise-grade AI systems using agentic architectures and multi-agent frameworks.

This role is on-site.

Responsibilities

• Architect scalable AI solutions leveraging LangGraph and agentic patterns.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines with semantic search and knowledge graphs.
• Develop core AI components and agents using Python.
• Manage cloud infrastructure and deployment pipelines on AWS (Bedrock) and GCP.
• Apply DevOps practices to ensure robust, production-ready AI systems.

Required Skills

• 15+ years of IT experience with a focus on AI/ML architecture.
• Deep expertise in Python programming.
• Strong background in LangGraph and Agentic AI/Multi-Agent Architecture.
• Proficient in RAG implementation, Prompt Engineering, and Knowledge Graphs.
• Hands-on experience with AWS Bedrock and GCP cloud services.
• Solid DevOps background for AI system deployment and maintenance.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree