AI Agent Engineer. The role, the market signal, and how to build it in your org.
Builds and operates the agent itself: tool-use, memory, planning, and execution of a single production agent as a shippable unit. Distinct from the Agentic Developer (who wires multi-step workflows) and the Loop / Harness Engineer (who designs the run loop) - the AI Agent Engineer owns the agent end to end. One of the fastest-growing 2026 titles, surfacing as AI Agent Engineer, AI Agent Development Engineer, and "Software Engineer, AI Agents."
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
27 postings · 21 distinct titles · from 264,613 real job postings · see the live data →
What the postings ask this role to do
530 tasks extracted from real AI Agent Engineer job descriptions, classified Automate / Augment / Human-only. Only 2.3% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.
- Monitor ai agent performance.
- Iterate rapidly based on customer feedback.
- Develop ai agents using cresta's ai platform and tools.
- Create implementation plans.
- Build custom tooling to address gaps.
- Iteratively refine solutions to meet objectives.
- Conduct interactive demos to prospective customers.
- Guide best practices for ai agent adoption and usage.
- Serve as a trusted technical advisor for the customer.
- Present compelling proof-of-concepts to prospective customers.
- Provide a tight feedback loop to product and engineering teams.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will own, then connect those responsibilities to practice and assessment.