AI Developer Jobs in Brazil

Rex.zone; Brasil; On-site; BRL 120,000 - 180,000; Full time

Job summary

A tech company is seeking an AI Developer to build and deploy ML and LLM-based features for products in Brazil and worldwide. The role involves designing ML services, implementing training pipelines, and evaluating model quality. Candidates must have mid-senior experience with machine learning, strong Python skills, and hands-on knowledge of LLMs. This is a full-time remote position focused on Brazilian hiring needs.

Qualifications

• Mid-Senior experience shipping ML systems to production.
• Strong Python skills and experience with ML frameworks and model serving patterns.
• Hands-on knowledge of LLMs and model evaluation metrics.

Responsibilities

• Design and implement ML/LLM services with production reliability.
• Create evaluation harnesses for LLM training pipelines.
• Implement evaluation and monitoring to measure model quality.

Skills

Machine Learning systems

Python

Prompt engineering

MLOps

Job description

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 cases in data labeling and content safety labeling.
• Develop and maintain training pipelines, experiment tracking, CI/CD, and reliable model release processes.

Required Qualifications

• Mid‑Senior experience shipping ML systems to production.
• Strong Python skills and experience with ML frameworks and model serving patterns.
• Hands‑on knowledge of LLMs, prompt engineering, prompt evaluation, and model evaluation metrics.
• Understanding of data labeling workflows and training data quality practices.
• MLOps experience: experiment tracking, model registries, monitoring, and rollback strategies.

Work Model

Remote role targeting Brazil‑focused hiring needs.

Employment Type: Full‑time.