AI Agent Engineer

Job Description

Design, build, and deploy AI agents using IBM watsonx platforms and related agent development frameworks.ibm+2 Develop agent workflows that combine LLMs, enterprise tools, collaborators, and knowledge sources for business automation. IBM describes watsonx agents as combining an LLM with tools, collaborators, and optional knowledge sources for intelligent automation.developer.watson-orchestrate.ibm Integrate AI agents with enterprise applications, APIs, and data platforms using MCP server architecture.ibm+2 Configure and manage local or remote MCP servers to enable secure agent access to external tools and enterprise data sources. IBM documentation covers installing local MCP servers and registering remote MCP servers inside watsonx Orchestrate.ibm+1 Work on prompt engineering, grounding, tool invocation logic, and response optimization to improve quality and reliability of agent outputs.ibm+1 Collaborate with cross-functional teams to identify use cases and deliver scalable AI solutions aligned with business needs.ibm+1 Test, troubleshoot, monitor, and improve agent performance across development and production environments. IBM’s Agent Lab materials emphasize building, testing, and deploying agents for production usage.ibm Maintain technical documentation, integration standards, and operational support procedures for deployed AI agents and MCP-enabled services.

Required Skills