Applied AI Engineer (Agentic AI) - Remote

About This Role

This engineering role focuses on the design and evaluation of autonomous AI agents across various Large Language Models (LLMs) in real-world applications like health, education, and daily life. It involves providing expert human feedback to leading AI organizations to help shape the future of agentic AI systems and training LLMs for complex, multi-step architectural workflows.

Responsibilities

• Write evaluation rubrics with objective pass/fail criteria
• Debug agent traces to identify failure patterns
• Stress test agents against edge cases, prompt injection, and tool misuse
• Assess production-grade modular software architecture
• Analyse multi-turn system interactions and behaviours
• Provide high-density technical feedback for LLM training

Requirements

• 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)
• Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
• Practical experience building for live, non-mocked environments and handling multi-turn system interactions

Nice to have:

• Experience integrating agents with live tools such as Supabase, Gmail, and other APIs
• Familiarity with persistent state and session-tracking patterns
• Experience identifying privacy leaks, authority escalation, or indirect prompt injection vulnerabilities

Benefits

• Payments are issued weekly via supported payout platforms (e.g., PayPal or AirTM)

Application Process

• Create an account and upload a resume/ID
• Complete the onboarding assessment
• Start earning through flexible task assignments