AI Agent Jobs
Find AI Agent jobs for builders who design systems that can reason, call tools, move through workflows, and produce useful outcomes.
These roles are practical: companies want agents that work in production, not impressive demos that fail when the input changes.
Live AI Agent Jobs
37 matching roles
Alternance - AI Builder & Automation E-commerce (H/F)
Build internal tools and automations using n8n and AI; showcase your curiosity through personal projects and prototypes.
Social Media & AI Content Systems Builder
Build and scale AI-driven content engines using agents and automation—show us your systems and shipped workflows.
AI Product Builder
Build AI-native product experiences and agentic workflows; show us your shipped projects, prototypes, and deep AI tool proficiency.
AI Systems Builder / Founding Partner (m/f/x)
Build and scale your own AI agency by shipping agentic systems—show us your deployed projects and client results.
What Are AI Agent Jobs?
AI Agent jobs involve building systems where language models coordinate steps, use tools, call APIs, retrieve context, or hand work between humans and software.
The work can include prompt design, orchestration, evaluations, tool integrations, observability, workflow design, and product surfaces that make agents useful to real users.
What You Actually Do In AI Agent Jobs
You might build customer support agents, research agents, internal operations copilots, data enrichment workflows, or agentic systems that draft, check, and route work across teams.
The day-to-day work often involves defining the task, connecting tools, testing failure cases, measuring quality, and deciding where human review is required.
What Companies Look For
- Experience building real agentic workflows or AI-powered systems.
- Comfort with tools, APIs, retrieval, prompts, evals, and observability.
- Practical judgment about reliability, cost, latency, and safety.
- Clear examples of agents that produce useful outcomes, not only demos.
Who These Roles Are For
- Builders who understand LLM behavior and workflow design.
- Engineers and automation builders comfortable with APIs and structured data.
- People who can design evals, test edge cases, and improve agent reliability.
- Product-minded builders who know when an agent needs a human in the loop.
How To Prepare For AI Agent Jobs
- Build an agent that solves a narrow, real workflow and publish a case study.
- Add evals or test cases so you can show how you measure quality.
- Practice integrating tools, APIs, databases, and human approval steps.
- Learn to explain failure modes and how your system handles them.
Common Tools Used In AI Agent Jobs
FAQ
Do AI Agent jobs require machine learning research experience?
Usually no. Most roles focus on applied systems: orchestration, integrations, evals, product workflows, and reliability.
What is the strongest portfolio project for AI Agent jobs?
A narrow agent that solves a real workflow, uses tools, handles errors, and includes a clear quality measurement story.
Are AI Agent jobs mostly engineering jobs?
Many are technical, but some sit in automation, operations, product, or solutions roles.
What do companies worry about with agents?
Reliability, hallucinations, cost, latency, permissions, security, and unclear ownership when the agent fails.