Note: The job is a remote job and is open to candidates in USA. Algotale Group is a technology company focused on AI-powered hiring and talent solutions, and they are seeking a Senior Backend Engineer to create sophisticated Reinforcement Learning Environments for AI model training and evaluation. The role involves designing and implementing cloud infrastructure environments and developing scenarios to rigorously test AI models.
Responsibilities
- 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
Skills
- 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
Benefits
- Role Type: Contractor (20 hrs perweek)
- Location: Remote
- Compensation is output-based; experts are paid per task that meets the project specifications.
- Experts must submit a minimum of tasks 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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