Agentic AI Engineer - Drumheller

Outlier AI
Other - Drumheller
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  • Job Type: Full time
  • 10 days ago

Job Description

Requirements
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### Must have:

### - We bring at least 2 years of experience in backend engineering, AI automation, or complex systems integration. - We have a proven track record of building and supporting production-ready software with clear modular boundaries, such as separate services for parsing, logic, and reporting. - We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we work confidently with SQL databases. - We have practical experience developing in live, non-mocked environments and managing multi-step system interactions. - We demonstrate exceptional attention to detail and can deliver precise, high-value technical feedback on sophisticated system behavior. - We have hands-on experience creating multi-stage coordination workflows where information gathering leads to informed output. - We are comfortable connecting agents to live tools such as Supabase, Gmail, and other APIs to solve real-world use cases. - We are familiar with implementing persistent state and session tracking using MEMORY.md to monitor agent progress. - We have experience spotting subtle issues such as privacy leaks, privilege escalation, and indirect prompt injection.

Responsibilities:
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- We help train advanced generative systems by providing human feedback that improves AI agents. - We support the development of proactive, multi-step agents capable of operating in complex real-world workflows. - We contribute to teaching large language models how to design, coordinate, and refine architectural processes. - We evaluate system behavior in live environments and give detailed feedback on performance and failure modes. - We participate in projects focused on orchestration, automation, and multi-step reasoning. - We help identify and analyze nuanced security and reliability concerns in agent behavior.
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Company:
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We collaborate with leading AI organizations to improve autonomous agents by training large language models with human feedback. Our work focuses on building systems that can plan, coordinate, and optimize complex workflows in real-world settings. We are looking for people who are passionate about orchestration or experienced in software development to help us shape the future of advanced generative systems.
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