Summary
Location
Uruguay
Type
contract
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About this role
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
- 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
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Other facts
About Gramian Consulting Group
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). We combine the perspective of a software engineer, the rigor of a technical recruiter, and the vision of a business builder, so you get experts who understand your challenges and deliver results the right way. This blend is our signature advantage in providing top-quality services, fast and reliably.
What you'll do
- The Full-Stack Engineer will write, review, and debug code, design APIs, and develop web applications. They will also investigate LLM outputs and build reproducible development environments.
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