DCX Agentic AI Engineer

Overview

Build and evaluate agentic AI systems for Alation’s Content & Enablement Systems within Digital Customer Experience.

What you'll do

• Design and ship end-to-end agentic workflows including orchestration, retries, guardrails, and evaluation harnesses.
• Create evaluation loops to catch failures before they reach production.
• Operate retrieval infrastructure covering indexing strategy, relevance tuning, and diagnosing retrieval degradation.
• Integrate MCP servers and APIs as part of system design.
• Build systems that efficiently route AI-generated content for human review via quality gates.
• Partner with Product Management, Product Marketing, Support, and field teams throughout the build.

What you'll need

• 3–5 years of relevant software engineering experience building agentic AI systems, RAG pipelines, or similar retrieval-augmented applications.
• Systems-first mindset for designing modular AI agents that scale across disparate data sources.
• Experience mapping complex end-to-end agentic workflows and anticipating failure modes.
• Experience with search/retrieval infrastructure such as indexing, ranking, or relevance tuning.
• Familiarity with API integration and/or MCP (Model Context Protocol) server integration.
• Strong ability to work cross-functionally to translate business content needs into technical systems.
• Judgment on when AI output needs human review versus autonomous shipping.

Nice to have

• Experience in a fast-moving product company environment.
• Prior experience with content/documentation pipelines, developer enablement tooling, or knowledge-management systems.
• Experience with drift-detection or sync systems between code and documentation.
• Familiarity with evaluation frameworks/tooling for LLM-based agents.