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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 workflowsBuild automation using LangChain, LangGraphCreate intelligent agents (Claude CoWork / OpenAI)Implement workflows (n8n, MCP, A2A)Integrate with enterprise APIsDeploy on AWSOptimize prompts, memory, reasoningCollaborate with data/ML teamsRequired Skills:Strong PythonLangChain / LangGraph experienceAgentic AI workflowsLLMs, Prompt Engineering, RAGAPI integrations, automation toolsAWS (Lambda, S3, Bedrock)Good to Have:Claude / GPT ecosystemsMulti-agent systemsProduction AI systems
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