Senior Backend Engineer
Xperteez Technology ·
- Work mode
- Remote
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- Senior
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Xperteez Technology ·
Micro1 · Worldwide
RemoteJobsOne · London, United Kingdom
24-MAG · New York, New York, United States
Micro1 · Worldwide
Senior Backend Engineer creating Reinforcement Learning Environments to train AI models. You will design cloud infrastructure scenarios involving distributed systems, networking, and IAM using C++, Python, Rust, or Go to evaluate model proficiency.
Role Title: Senior Backend Engineer
Role Type: Contract (20 hrs per week)
Location: Remote
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.
Design, develop, and implement realistic cloud infrastructure environments to evaluate AI model proficiency in systems design, deployment, and troubleshooting.
Create detailed and reproducible scenarios involving distributed systems, networking, Identity and Access Management (IAM), message queues, persistent storage, observability, rolling deployments, and disaster recovery.
Develop deterministic validation tests and golden reference solutions to ensure the reliability and accuracy of reinforcement learning environments.
Produce intentionally defective variants and failure scenarios to rigorously test AI model responses and recovery strategies.
Document the architecture, edge cases, and operational flows for all developed environments, ensuring clarity and reproducibility for future use.
Collaborate with technical leads and project participants to iteratively refine environment specifications and acceptance criteria.
Apply DevOps and infrastructure automation practices to deliver scalable, secure, and maintainable solutions for cloud-based systems evaluation.
Proven expertise with backend programming languages, such as C++, Python, Rust, GoLang, JAVA, or JavaScript.
Strong practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools.
Demonstrated ability to architect, scale, and secure distributed systems in production-grade environments.
Deep understanding of networking, IAM, queues, durable storage, and disaster recovery concepts.
Apply to the role, filling out the screening questions
Complete AI interview (aprox. 30 minutes), reviewed by recruiters
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of 20-hour task per week.
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
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