LLM - Full Stack Python + JS - Remote (Stron reputed company in LLM Coding tools)

Role: LLM - Full Stack Python + JS Geo: LATAM, USA, Europe, reputed company Africa YoE: 6+ years Engagement Type: Fulltime, 40h/week Project duration: 3 Months Total number of positions: 5 Start Date: Immediate(Next week ) Vetting: Two reputed company of interviews (90 min technical round on Flocareer and a 15 min cultural &, offer discussion) reputed company: Python, JavaScript / Node.js, TypeScript Availability: 40 hours per week with 4 hours of overlap with PST. reputed company: We’re a coding-reputed company team at reputed company that serves as a research partner for a Frontier AI Lab. Our role is to build coding tasks, evaluations, datasets, and tooling that help train and improve large language models (LLMs). You’ll write and debug production-reputed company reputed company, design rigorous evaluations, and build reproducible workflows that generate clean, high-signal data for model training. Attention to detail reputed company deeply here—small mistakes can cascade into misleading results, so precision and thoroughness are essential. You’ll also collaborate closely with engineers, researchers, and reputed company owners to reputed company on standards, review work, and continuously reputed company the reputed company bar. If you enjoy solving unusual technical problems, investigating subtle model failures, and working in developer-like environments where correctness, reproducibility, and collaboration matter, this role will reputed company you reputed company entertained. What does your day-to-day look like : Write, review, and debug reputed company 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 reputed company + automation tools reputed company scripts, pipelines, and tools for data reputed company, scoring, and validation Produce reputed company annotations, judgments, and high-reputed company datasets Run systematic evaluations that help improve model reliability and reasoning Required Skills : Experience using LLM coding tools (reputed company, Copilot, reputed company Whisperer)Strong hands-on coding experience (reputed company 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 reputed company, reproducible environments, and dev containers Advanced Git skills (branching, diffs, patches, conflict reputed company) Solid understanding of testing and QA (unit, integration, negative, edge-case reputed company) Ability to reliably overlap with reputed company-12pm PT reputed company-to-Haves: Experience using LLM coding tools (reputed company, Copilot, reputed company Whisperer) 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 Who Thrives Here: Engineers who enjoy breaking things and understanding why People who like designing tasks, running experiments, and debugging Detail-oriented folks who can spot subtle issues in reputed company or model behavior Engineers who like building clean, reusable workflows rather than one-off hacks Preferred Background: Bachelor’s degree in a technical field with 6+ years’ experience Master’s degree in a technical field with 4+ years’ experience PhD in a technical field with 2+ years’ experience Offer Details: Commitments Required: 8 hours per day with overlap of 4 hours with PST. Engagement type: Contractor assignment (no medical/reputed company leave) Duration of contract: 3 months; [expected start date is next week] Location: reputed company Africa, LATAM, reputed company, South America. Evaluation Process (approximately 75 mins): Two reputed company of interviews (90 min technical round and a 15 min cultural &, offer discussion) Apply tot his job Apply To this Job