Rust Backend Architect – AI Training Projects

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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.