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Full-stack Engineer (Python, Node.js, Typescript) for AI Training project at Gramian Consulting Group. 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. Company Location: Nigeria.