Job opportunity
Rust Backend Engineer AI Evaluation
Jobgether
Build and evaluate production-grade Rust services remotely from Canada, applying backend engineering expertise to AI training and software validation.
This senior-level work centers on backend implementations, architectural assessment, and measurable technical outcomes. You will translate specifications into functional solutions and reproducible tests while addressing APIs, data persistence, asynchronous processing, concurrency, error handling, and system behavior. Independent delivery and clear English documentation are essential.
Key Responsibilities:
Translate specifications into working implementations and testing workflows
Set up Rust workspaces, dependencies, fixtures, databases, and containers
Investigate backend issues and identify architectural weaknesses
Execute tests for expected behavior, failures, and edge cases
Assess implementations against technical and production standards
Requirements:
Experience translating requirements into verifiable technical outcomes
Familiarity with Rust crates, workspaces, testing frameworks, and tools
Understanding of software testing, failure handling, and system validation
Ability to communicate architectural trade-offs and engineering findings clearly
Contract-based remote availability with defined deadlines and deliverables
Use Rust backend development, reproducible testing, and analytical evaluation to produce accurate solutions for AI training initiatives.
#J-18808-Ljbffr
Apply on source site This senior-level work centers on backend implementations, architectural assessment, and measurable technical outcomes. You will translate specifications into functional solutions and reproducible tests while addressing APIs, data persistence, asynchronous processing, concurrency, error handling, and system behavior. Independent delivery and clear English documentation are essential.
Key Responsibilities:
Translate specifications into working implementations and testing workflows
Set up Rust workspaces, dependencies, fixtures, databases, and containers
Investigate backend issues and identify architectural weaknesses
Execute tests for expected behavior, failures, and edge cases
Assess implementations against technical and production standards
Requirements:
Experience translating requirements into verifiable technical outcomes
Familiarity with Rust crates, workspaces, testing frameworks, and tools
Understanding of software testing, failure handling, and system validation
Ability to communicate architectural trade-offs and engineering findings clearly
Contract-based remote availability with defined deadlines and deliverables
Use Rust backend development, reproducible testing, and analytical evaluation to produce accurate solutions for AI training initiatives.
#J-18808-Ljbffr