Remote Agentic AI Engineer - Build Autonomous AI Agents

Outlier; Bologna; Remote; EUR 37,000 - 62,000; Full time

Benefits offered by this job

Free access to leading LLMs

Missions incentive (surge pricing)

Weekly payments

Job summary

Outlier offers a freelance, remote role to help shape the future of autonomous agents like OpenClaw. Earn up to $50 USD/hr, with flexible hours and weekly payments. Candidates worldwide can apply and enjoy incentives such as mission-based earnings and free access to leading LLMs.

The ideal candidate has 2+ years of backend engineering or AI automation experience, can design production-grade software with modular services, and thrives on live system scenarios and intricate feedback.

Qualifications

• 2+ years of experience in backend engineering, AI automation, or complex systems integration.
• Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
• Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
• Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
• Nice to have: expertise building multi-stage coordination tasks where data acquisition leads to reasoning output.

Responsibilities

• Write Eval Rubrics
• Debug Agent Traces
• Stress Test Agent

Skills

2+ years experience

Backend engineering

AI automation

Complex systems integration

Tools

Supabase

Gmail

APIs

MEMORY.md

Job description

Outlier offers a freelance, remote role to help shape the future of autonomous agents like OpenClaw. Earn up to $50 USD/hr, with flexible hours and weekly payments. Candidates worldwide can apply and enjoy incentives such as mission-based earnings and free access to leading LLMs.

The ideal candidate has 2+ years of backend engineering or AI automation experience, can design production-grade software with modular services, and thrives on live system scenarios and intricate feedback.