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

Gramian Consulting

Brasil

Teletrabalho

BRL 120 000 - 180 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Fully remote environment
Opportunity to work on cutting-edge AI projects

Resumo da oferta

A consultancy specializing in IT services is seeking a highly skilled Full-Stack Engineer for an exciting AI training project. This remote role requires expertise in Python, Node.js, and TypeScript, along with hands-on experience in using LLM coding tools. Candidates will design APIs, develop web applications, and optimize data workflows to improve AI model performance. If you thrive in a collaborative, innovation-driven environment and have strong skills in Docker and Git, this role is for you. Join a cutting-edge project with major LLM companies while working from anywhere in LATAM or beyond.

Qualificações

  • Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer).
  • Strong hands-on coding experience in Python, JavaScript / Node.js, or TypeScript.
  • Solid experience with Linux, Bash, scripting, and automation.

Responsabilidades

  • Write, review, and debug code across multiple languages.
  • Design tasks and evaluation scenarios for coding and reasoning.
  • Investigate LLM outputs and identify hallucinations and regressions.

Conhecimentos

Python
Node.js
TypeScript
Docker
Bash
Git

Descrição da oferta de emprego

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

2 weeks ago Be among the first 25 applicants

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
Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

IT Services and IT Consulting

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