Full-stack Engineer; Python, Node.js, React AI Training project- LATAM

Full-stack Engineer (Python, Node.js, React) for AI Training project - LATAM ONLY

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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 Type Script 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)

• 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 and 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

• Experience using LLM coding tools (Cursor, Copilot, Code Whisperer)
• Strong hands‑on coding experience (professional or research‑based) in one or more of:
  • Python, JavaScript / Node.js, Type Script
  • (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

• Experience with dataset creation, annotation, evaluation, or ML pipelines
• Familiarity with benchmarks like SWE Bench or Terminal Bench
• Background in QA automation, Dev Ops, ML systems, or data engineering

• Work in a fully remote environment
• Opportunity to work on cutting‑edge AI projects with leading LLM companies

Mid‑Senior level

Contract

IT Services and IT Consulting