AI Engineer (Agentic AI)

Job Summary

We are looking for a talented AI Engineer with hands-on experience in Agentic AI and Generative AI technologies. The ideal candidate will have strong expertise in LangChain, LangGraph, and RAG-based architectures, along with solid programming skills in Python and exposure to AWS Cloud services.

This role involves building scalable, intelligent systems powered by LLMs, multi-agent workflows, and cloud-native platforms.

Key Responsibilities

• Develop and deploy LLM-based applications using LangChain and LangGraph
• Design and implement Agentic AI systems and multi-agent workflows
• Build RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
• Integrate LLMs and AI services using AWS Bedrock
• Develop scalable backend services using Python
• Work with vector databases for semantic search and retrieval
• Collaborate with cross-functional teams to design and deploy AI solutions on AWS Cloud
• Optimize performance, scalability, and reliability of AI systems

Required Skills

• Strong proficiency in Python
• Hands-on experience with:
  • LangChain
  • LangGraph
  • Agentic AI frameworks
  • RAG pipelines
• Experience with AWS Cloud (including AWS Bedrock)
• Solid understanding of LLMs, embeddings, and prompt engineering
• Experience with APIs and microservices architecture

Preferred Skills

• Experience with Novasonic or voice-based AI systems
• Knowledge of multi-agent orchestration frameworks
• Exposure to MLOps / CI-CD for AI systems
• Experience with production-grade AI applications