Applied AI Engineer (Agentic AI)
Key details
- Compensation
- $73,000 - $94,000
Job Description
Salary: £73,000 - 94,000 per year
Requirements
- We require 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- We require proven ability to build and maintain production-grade software with modular separation, such as distinct services for data parsing, logic processing, and reporting.
- We require strong command of at least two major languages, such as Python, JavaScript, Go, or Java, and experience working with SQL databases.
- We require practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- We require outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- We prefer expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- We prefer hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- We prefer comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
- We prefer experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Responsibilities
- We collaborate with leading AI organizations to train Large Language Models to function as proactive, multi-step agents.
- We help teach these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
- We provide human feedback to improve AI agents and help shape the future of autonomous agents.
- We work with advanced generative systems in live project environments.
- We evaluate complex system behaviors and provide clear technical feedback to support model training.
Technologies
- AI
- Backend
- Support
- Java
- JavaScript
- Python
- SQL
More
We are Outlier, and we help the worlds most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models to function as proactive, multi-step agents that can design, coordinate, and optimize complex real-world architectural workflows. This is an opportunity to help shape the future of autonomous agents and work on advanced generative systems alongside passionate orchestration experts and experienced software developers.
last updated 20 week of 2026
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Source: DevITJobs • Last updated May 20, 2026