AI Solutions Engineer

Salary: $90,000 - 130,000 per year Requirements:

• We require at least 2 years of experience in backend engineering, AI automation, or complex systems integration.
• We look for a proven track record of building and maintaining production-ready software with clear modular structure, such as separate services for parsing, logic handling, and reporting.
• We need strong proficiency in at least two major programming languages, such as Python, JavaScript, Go, or Java, along with experience using SQL databases.
• We expect practical experience developing for live, non-simulated environments and managing multi-step system interactions.
• We value exceptional attention to detail and the ability to deliver concise, high-value technical feedback on sophisticated system behavior.
• Preferred experience includes designing multi-stage coordination workflows where data collection leads to well-reasoned outputs.
• Experience integrating agents with live tools like Supabase, Gmail, and other APIs is a strong advantage.
• Comfort working with persistent state and session tracking through MEMORY.md is a plus.
• We also value experience spotting subtle issues such as privacy exposure, authority escalation, and indirect prompt injection.
  
  

Responsibilities:

• We will train advanced generative systems by providing human feedback that helps improve AI agents.
• We will collaborate with leading AI organizations to develop Large Language Models that can operate as proactive, multi-step agents.
• We will contribute to teaching these systems how to design, coordinate, and refine complex architectural workflows in real-world settings.
• We will support the improvement of autonomous agent behavior through detailed technical evaluation and feedback.
• We may work on orchestration-heavy projects or software-focused tasks depending on our background and expertise.
  
  

Technologies:

• AI
• Backend
• Support
• Java
• JavaScript
• Python
• SQL
  
  

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We are Outlier, a team helping some of the worlds most innovative companies improve their AI agents through human feedback. Our projects are centered on training Large Language Models to act as proactive, multi-step agents capable of handling complex, real-world architectural workflows. We welcome both orchestration experts and experienced software developers who want to help shape the future of autonomous systems like OpenClaw and contribute to the development of the worlds most advanced generative technologies.

last updated 40 week of 2026