AI Engineer building LLM - powered procurement and automation features for Remarcable’s trade - contractor software platform. Shipping RAG, agentic workflows and document intelligence into production.
About the role
- Rust Backend Architect solving and validating production-grade backend systems for Gramian Consultancy’s AI training projects. Designing architectures, tests, and reliable concurrent services.
Responsibilities
- Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability.
- Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows.
- Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness.
- Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments.
- Develop and validate test cases covering expected behavior, edge cases, failure scenarios, and system reliability.
- Debug complex backend issues and identify weaknesses in implementation, architecture, or system design.
- Evaluate asynchronous and concurrent systems, including race conditions, resource contention, and performance bottlenecks.
- Produce technical explanations and implementation artifacts supporting AI training and evaluation.
- Maintain output quality while meeting weekly submission requirements and project deadlines.
Requirements
- Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development.
- Strong understanding of backend service design, APIs, data persistence, and production software architecture.
- Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust.
- Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems.
- Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes.
- Experience with Rust workspaces, dependency management, test environments, and backend development tooling.
- Strong debugging, analytical reasoning, and technical problem-solving skills.
- Clear written communication and the ability to explain architectural decisions and technical findings.
- Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements.
- Ability to begin work within 24–48 hours after completing onboarding.
- Strong written and verbal English.
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