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

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

Key Skills

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