AI Engineer

Role Overview

Design, build, and deploy intelligent automation solutions using Agentic AI frameworks and modern LLM-based architectures.AI Engineer (4–9 yrs)

Key Responsibilities

• Develop AI applications using LLMs and agentic workflows
• Build automation using Lang
• Chain, Lang
• Graph
• Create intelligent agents (Claude CoWork / OpenAI)
• Implement workflows (n8n, MCP, A2A)
• Integrate with enterprise APIsDeploy on AWSOptimize prompts, memory, reasoning
• Collaborate with data/ML teams

Required Skills

• Strong Python
• Lang
• Chain / Lang
• Graph experience
• Agentic AI workflows
• LLMs, Prompt Engineering, RAGAPI integrations, automation tools
• AWS (Lambda, S3, Bedrock)
• Good to Have:
• Claude / GPT ecosystems
• Multi-agent systems
• Production AI systems