Full-stack Engineer (Python, Node.js, Typescript) for AI Training project

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. **Role Overview** 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. You will engage in a variety of tasks, including designing APIs, developing web applications, and optimizing data processing workflows in a collaborative and innovation\-driven environment. **NOTE: In this project you will not build a project, but specifically generate data to improve model performance for one of the biggest foundational model companies.** **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 (professional or research\-based) 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