AI Agent Engineer& AI Automation Jobs
Build autonomous AI agents, enterprise AI automation, and agentic operations systems. Find AI agent engineer, AI business automation engineer, LangGraph, LangChain, and tool-calling roles. $150k-$350k+ salaries.
AI agent engineering is one of the fastest-moving specializations in AI hiring. Companies need engineers who can design, build, and deploy autonomous agents that plan, use tools, call APIs, and complete multi-step tasks with human oversight. Search demand now spans AI agent engineer jobs, AI automation engineer jobs, agentic AI jobs, and enterprise workflow automation roles.
Roles span full-stack AI engineer, agent infrastructure engineer, AI business automation engineer, AI operations engineer, and AI systems architect. Companies are building customer service agents, coding assistants, research agents, internal operations agents, and workflow automation systems. Key skills include LangChain, LangGraph, AutoGen, CrewAI, tool-use API patterns, evals, observability, and production reliability for long-running agent workflows.
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Frequently Asked Questions
What does an AI agent engineer do?
AI agent engineers design and build autonomous AI systems that can plan, reason, and take actions. This includes building orchestration layers, implementing tool-calling systems, designing memory and state management, creating multi-agent pipelines, and ensuring reliability and safety in production agent deployments.
What skills are needed for AI agent jobs?
Core skills include Python, LLM API experience (OpenAI, Anthropic), and proficiency with agent frameworks like LangChain, LangGraph, or AutoGen. Understanding of prompt engineering, tool/function calling, vector databases, and async programming is essential. Production experience with error handling and agent observability is increasingly valued.
What is an AI business automation engineer?
An AI business automation engineer applies agentic AI to internal workflows such as finance, legal, sales operations, customer support, and HR. These roles need enough software engineering skill to integrate LLMs with business systems, build guardrails, measure reliability, and keep humans in the loop for sensitive actions.