Backend Software Engineer – AI Training Projects

🔥 1 minute ago

🌐 Brazil, Argentina, +4 more countries – Remote

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⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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Logo of Gramian Consulting

Gramian Consulting

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

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes. • Design tasks that reflect real-world backend engineering scenarios. • Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs. • Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages. • Evaluate code for correctness, reliability, maintainability, and performance. • Incorporate automated testing and clear validation criteria into coding tasks. • Identify and account for edge cases, performance bottlenecks, and potential implementation errors. • Apply secure coding principles and cybersecurity considerations where relevant. • Refine tasks and verification logic based on project requirements and quality standards.

🎯 Requirements

• Strong professional experience with one or more backend programming languages, such as Java, Node.js, Go, Rust, TypeScript, Python, or C++. • Demonstrated experience building scalable backend services and APIs. • Practical experience with debugging, performance optimization, and automated testing. • Strong code review skills and the ability to identify correctness, quality, and maintainability issues. • Understanding of algorithms, data structures, and fundamental computer science concepts. • Ability to independently analyze technical problems and develop reliable solutions. • Strong technical communication and documentation skills.

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