AI Solutions Engineer (remote)
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
Application Instructions๐ฌ๐ผ๐ ๐๐ถ๐น๐น ๐ฏ๐ฒ ๐ฟ๐ฒ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐ฒ๐ฑ ๐๐ผ ๐๐ต๐ฒ ๐ฒ๐บ๐ฝ๐น๐ผ๐๐ฒ๐ฟ'๐ ๐ฐ๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ฝ๐ฎ๐ด๐ฒ ๐ถ๐ป ๐ฎ ๐ป๐ฒ๐ ๐๐ถ๐ป๐ฑ๐ผ๐ ๐๐ผ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ ๐๐ผ๐๐ฟ ๐ฎ๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐๐ข๐ฝ๐๐ฃ๐ฎ๐๐ต, a platform built for high-priority, time-sensitive job opportunities.ย About the ProjectOutlier helps the worldโs most innovative companies improve their AI agents by providing human feedback. Do you want toย shape the future of autonomous agents like OpenClaw?We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.ย Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.Whether you are a passionate orchestration guru or experienced software developer โ we want you toย help us train the world's most advanced generative systems.Ideal Qualifications2+ 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).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.Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.Nice to haveExpertise building multi-stage coordination tasks where data acquisition leads to reasoned output.Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.