AI Application Engineer - Red Deer

Job Description

Requirements
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### Must have:

### - We need at least 2 years of experience in backend engineering, AI automation, or integrating complex systems. - We look for a demonstrated track record of building and supporting production-ready software with clear modular architecture, such as separate services for parsing, logic handling, and reporting. - We require 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 excellent attention to detail and the ability to deliver concise, high-signal technical feedback on intricate system behavior. - It is an advantage to have experience creating multi-stage coordination workflows where information gathering leads to a reasoned output. - We prefer candidates who have integrated agents with live tools such as Supabase, Gmail, and other APIs to solve practical problems. - We welcome familiarity with persistent state and session tracking using MEMORY.md to monitor agent progress. - We value experience spotting subtle issues such as privacy exposure, authority escalation, or indirect prompt injection.

Responsibilities:
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- We train large language models to operate as proactive, multi-step agents. - We help design, coordinate, and refine complex real-world architectural workflows. - We provide human feedback that improves the performance of advanced AI systems. - We collaborate with leading AI organizations to develop more capable generative agents. - We support the evaluation of system behavior across live, multi-turn interactions. - We contribute technical insight to strengthen orchestration, reliability, and task completion quality. - We help identify and analyze nuanced failures in agent behavior and system safety.
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Company:
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We are Outlier, a company that helps some of the worlds most innovative organizations improve their AI agents through human feedback. Our work focuses on advancing autonomous systems by training large language models to function as proactive, multi-step agents capable of planning, coordinating, and optimizing complex real-world workflows. We are looking for people who are passionate about orchestration or experienced in software development to help us build the next generation of generative systems. We offer the opportunity to work on challenging, high-impact projects alongside leading AI teams in a fast-moving environment.
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