Full-stack/Backend developers LLM focused.
CloudDevs
full-remotemidfreelancebackendfullstack Anywhere in the World Today via WWR
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Large Language Models (LLMs)PythonJavaScriptGoJavaSQLBackend EngineeringAI Agent OrchestrationSecurity TestingModular Architecture
About the role
Role Overview
CloudDevs (via Outlier) is looking for skilled software experts to help train generative AI models. This is a fully remote freelance role with flexible hours.
The focus is on autonomous agent behavior—building systems that can coordinate multi-step workflows reliably.
Responsibilities
- Develop objective, verifiable evaluation criteria (rubrics) to assess system performance and ensure outputs meet strict functional requirements.
- Review system logs and “trajectories” to refactor code, improve execution paths, and move toward a “Golden Path” of high reliability.
- Test for vulnerabilities, including:
- improper data exposure
- unauthorized access escalation
- edge-case failures
Requirements
- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software using modular separation (e.g., distinct services for parsing, logic processing, and reporting).
- Strong command of at least two major languages (examples given: Python, JavaScript, Go, Java).
- Experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- High attention to detail and ability to provide clear, high-density technical feedback on complex system behaviors.
Nice to Have
- Expertise building multi-stage coordination tasks (data acquisition → reasoned output).
- Experience integrating agents with live tools/APIs, including Supabase and Gmail.
- Comfort implementing persistent state and session discovery using MEMORY.md.
- Experience identifying subtle failures such as privacy leaks, authority escalation, or indirect prompt injections.
About CloudDevs
CloudDevs is an AI-focused company collaborating with leading AI organizations to train Large Language Models (LLMs) to act as proactive, multi-step autonomous agents. Its work emphasizes designing, coordinating, and optimizing complex architectural workflows for real-world outcomes.
Scraped 4/7/2026