Full-stack Engineer

hace 2 semanas

Argentina Gramian Consulting A tiempo completo

Full-stack Engineer (Python, Node.js, React) for AI Training project - LATAM ONLY Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. We are looking for a highly skilled Full‑Stack Engineer with a focus on Python, Node.js, and TypeScript to contribute to our AI training project. This role will be pivotal in building and optimizing a sophisticated data ecosystem designed for AI model training and evaluation. Contract Details Duration: 3 months Commitment: 40h/week, 4h/day overlap with PST Model: Contract, time and material Location: 100% Remote (LATAM, Europe, MENA) Key Responsibilities Write, review, and debug code across multiple languages Design tasks and evaluation scenarios for coding, reasoning, and debugging Investigate LLM outputs and identify hallucinations, regressions, and failure modes Build reproducible dev environments using Docker + automation tools Develop scripts, pipelines, and tools for data generation, scoring, and validation Produce structured annotations, judgments, and high‑quality datasets Run systematic evaluations that help improve model reliability and reasoning Requirements Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer) Strong hands‑on coding experience in one or more of: Python, JavaScript / Node.js, TypeScript Additional languages like Go, Java, C++, C#, Rust, SQL, R, Dart, etc. are a plus Solid experience with Linux + Bash, scripting, and automation Strong with Docker, reproducible environments, and dev containers Advanced Git skills (branching, diffs, patches, conflict resolution) Solid understanding of testing and QA (unit, integration, negative, edge‑case focused) Ability to reliably overlap with 8am‑12pm PST Nice‑to‑Haves Experience with dataset creation, annotation, evaluation, or ML pipelines Familiarity with benchmarks like SWE Bench or Terminal Bench Background in QA automation, DevOps, ML systems, or data engineering Benefits Work in a fully remote environment Opportunity to work on cutting‑edge AI projects with leading LLM companies Seniority Level Mid‑Senior level Employment Type Contract Job Function / Industries IT Services and IT Consulting #J-18808-Ljbffr

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