JOBSEARCHER

Agentic AI Engineer

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your Role And ResponsibilitiesThe Agentic AI Engineer (Pro-Code, OpenAI Stack) designs, builds, and ships LLM-based AI agents into production. The role owns multi-agent and single-agent orchestration, exposes data and actions to agents through MCP, and is accountable for the evaluation frameworks and guardrails that keep agent output accurate, grounded, and reliable at scale.Preferred EducationMaster's DegreeRequired Technical And Professional ExpertiseDemonstrable history of deploying and operating LLM agents in production, with examples of scale, reliability, and measurable business impactMulti-agent / single-agent orchestration (planner-executor, tool-routing, handoffs, state management, retries, human-in-the-loop)Model Context Protocol (MCP): building and consuming MCP servers and tools to expose data and actions to agentsOutput-evaluation frameworks: offline + online evals, golden datasets, LLM-as-judge, regression suites, accuracy/groundedness/hallucination metrics, and guardrailsExpert Python; OpenAI API + Codex (or equivalent) / OpenAI Agents SDK; function/tool calling, structured outputs, Responses API, streamingPrompt and context engineering, RAG, embeddings/vector storesAPI integrations, CI/CD, and observability/tracingPreferred Technical And Professional ExperienceLatency, cost, and token optimization at production scaleSecure secrets handling and production observability tooling