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AI Workflow Engineer

  • Greater Montreal Metropolitan Area, QC, Canada

Salary: $90,000 - 130,000 per year Requirements: · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
Salary: $90,000 - 130,000 per year Requirements:
Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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

  • We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
  • We have a proven record of building and supporting production-ready software with clear modular separation, such as distinct services for parsing, logic handling, and reporting.
  • We are highly proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we have experience working with SQL databases.
  • We have practical experience developing in live, non-simulated environments and managing multi-step system interactions.
  • We demonstrate exceptional attention to detail and can deliver concise, high-value technical feedback on complex system behavior.
  • We have experience designing multi-stage coordination workflows where data collection leads to reasoned outcomes.
  • We are comfortable connecting agents to real-world tools such as Supabase, Gmail, and other APIs to solve practical problems.
  • We understand how to implement persistent state and session tracking using MEMORY.md to monitor agent progress.
  • We can recognize subtle issues such as privacy exposure, authority escalation, and indirect prompt injection.

Responsibilities:

  • We help train advanced generative systems by providing high-quality human feedback.
  • We contribute to the development of large language models that act as proactive, multi-step agents.
  • We design, coordinate, and refine complex architectural workflows for real-world use cases.
  • We evaluate system behavior in live environments and assess how agents perform across multiple turns.
  • We deliver precise technical observations that help improve orchestration, reliability, and overall model performance.
  • We work on projects that involve integrating data sources, reasoning over collected information, and producing structured outputs.
  • We identify vulnerabilities and failure modes, including privacy risks, improper permission handling, and prompt injection attempts.

Technologies:

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

More

We are Outlier, and we help some of the worlds most innovative companies improve their AI agents through human feedback. Our work centers on training large language models to function as proactive, multi-step agents that can design, coordinate, and optimize complex real-world workflows, especially in architectural contexts. We offer the opportunity to contribute to cutting-edge generative AI projects alongside leading organizations and to help shape the future of autonomous agents.

last updated 40 week of 2026
More about this job

Responsibilities

Train and improve generative AI agents by providing high-quality feedback, designing multi-step workflows, and evaluating agent behavior in live environments. Integrate data sources and real-world tools, assess system reliability, and identify security and privacy vulnerabilities.

Requirements

Requires at least two years of experience in backend engineering, AI automation, or complex system integration, with production software experience and proficiency in at least two major programming languages plus SQL. Candidates should be skilled in multi-stage workflow design, live system interactions, API integrations, persistent state tracking, and identifying privacy, permission, and prompt-injection risks.

Skills

  • Backend Engineering
  • AI Automation
  • System Integration
  • Python
  • JavaScript
  • Go
  • Java
  • SQL
  • Workflow Design
  • Multi-Step Agent Coordination
  • API Integration
  • Supabase
  • Gmail
  • Session Tracking
  • Prompt Injection Detection
  • Privacy Risk Assessment

Visa sponsorship

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Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Science & Research

Keywords

  • AI
  • Backend Engineering
  • AI Automation
  • System Integration
  • Production-Ready Software
  • Modular Architecture
  • Python
  • JavaScript
  • Go
  • Java
  • SQL
  • Generative AI
  • Large Language Models
  • Autonomous Agents
  • Multi-Step Workflows
  • Workflow Orchestration
  • Live Environments
  • API Integration
  • Supabase
  • Gmail
  • Persistent State
  • Session Tracking
  • MEMORY.md
  • Structured Outputs
  • Privacy Risks
  • Permission Handling
  • Prompt Injection
  • Human Feedback
  • Reliability

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