AI Developer (Remote, Brazil)

Build, fine‑tune, and deploy ML and LLM‑backed features for products serving users in Brazil and global markets, collaborating remotely with distributed teams.

Key Responsibilities

• Design and implement ML/LLM services (APIs, batch jobs, streaming pipelines) with production reliability and measurable quality targets.
• Create evaluation harnesses for LLM training pipelines, including rubric‑based grading, pairwise preference testing, and prompt regression suites.
• Implement evaluation and monitoring to measure model quality (prompt evaluation, QA evaluation, offline/online testing) and drive model performance improvement.
• Contribute to RLHF‑adjacent workflows by integrating human feedback signals, preference data, and safety policies into training and evaluation loops.
• Partner with data operations to define annotation guidelines, improve training data quality, and resolve edge case...