Full-stack/Backend developers LLM focused.
WFA Digital Insight
The demand for skilled full-stack and backend developers with expertise in Large Language Models (LLMs) is on the rise, with the global AI market projected to reach
Job Description
## About the Role CloudDevs is at the forefront of developing autonomous agents like OpenClaw, seeking passionate full-stack/backend developers to join their team. As a key member, you will collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. This role is an opportunity to shape the future of AI and work on complex, real-world architectural workflows. The company prefers candidates from LATAMs (Americas) and Europe but is open to talent from anywhere in the world. This freelance position offers the flexibility of fully remote work with flexible hours, allowing you to contribute at times that fit your schedule. Your expertise will be crucial in helping train the world's most advanced generative systems, making this a unique chance to be part of a project that could redefine the boundaries of AI capabilities.
## What You Will Do - Develop objective, verifiable criteria (rubrics) to evaluate system performance and ensure outputs meet strict functional requirements.
- Review system logs and trajectories to refactor code, improve execution paths, and reach a Golden Path of perfect reliability.
- Test systems for vulnerabilities, including improper data exposure, unauthorized access escalations, and edge-case failures.
- Collaborate with the development team to design, coordinate, and optimize complex architectural workflows.
- Contribute to the development of production-grade software with modular separation.
- Build and maintain distinct services for data parsing, logic processing, and reporting.
- Work with SQL databases and have experience with at least two major programming languages.
- Participate in building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Integrate agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- Implement persistent state and session discovery to track agent progress.
- Identify subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
- Proven ability to build and maintain production-grade software with modular separation.
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- Experience with digital skills and remote work, demonstrating adaptability and self-motivation.
- Ability to work independently and as part of a distributed team.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
- Flexible, fully remote work arrangement, allowing for a better work-life balance.
- Collaboration with leading AI organizations and the chance to contribute to the development of advanced generative systems.
- Professional growth and development opportunities in a rapidly evolving field.
- Access to the latest technologies and tools in AI development.
- Potential for competitive compensation, considering the freelance nature of the role and the company's preference for top talent.
How to Stand Out
- Ensure you have a strong portfolio showcasing your experience with backend development, AI automation, and complex systems integration.
- Highlight your ability to work independently and as part of a distributed team, as remote work skills are crucial for this role.
- Be prepared to discuss your experience with Large Language Models (LLMs) and how you can contribute to training generative systems.
- When applying, emphasize your problem-solving skills, attention to detail, and ability to provide clear technical feedback.
- Consider learning about the latest advancements in AI and LLMs to stand out as a candidate and demonstrate your passion for the field.
- Prepare questions about the company's approach to AI development, the team's dynamics, and expectations for the role to show your interest and engagement during the interview process.
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