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 LangChain, LangGraph
• Create intelligent agents (Claude CoWork / OpenAI)
• Implement workflows (n8n, MCP, A2A)
• Integrate with enterprise APIs
• Deploy on AWS
• Optimize prompts, memory, reasoning
• Collaborate with data/ML teams

Required Skills:

• Strong Python
• LangChain / LangGraph experience
• Agentic AI workflows
• LLMs, Prompt Engineering, RAG
• API integrations, automation tools
• AWS (Lambda, S3, Bedrock)

Good to Have:

• Claude / GPT ecosystems
• Multi-agent systems
• Production AI systems