Data Science / ML Engineer (AcS)

If you are a LATAM-based engineer who has mastered the art of prompting and AI-assisted development, this is your chance to turn those skills into a career. You'll work on the cutting edge of AI safety and optimization, helping ensure large language models are reliable and effective through scalable, automated evaluation.

Introduction

In this position, you will bridge the gap between high-level AI orchestration and robust ML engineering. You'll be responsible for building the playgrounds where next-generation models are tested, specifically focusing on reinforcement learning (RL) environments and automated reward modeling. Instead of just writing code, you’ll be designing the systems that evaluate how AI thinks and performs.

Responsibilities

• Bridge the gap between high-level AI orchestration and robust ML engineering.
• Build and maintain reinforcement learning (RL) environments.
• Develop automated reward modeling systems.
• Design systems to evaluate AI thinking and performance.
• Leverage AI-First Tools: Vibe Coding, Claude Code, and Codex.
• Utilize Langchain and Langraph for complex agentic workflows.
• Work with MCP-server and advanced data pipelines to monitor AI telemetry.

Requirements

• Mastery of prompting and AI-assisted development.
• Bachelor's degree.
• 2-5 years of experience.
• LATAM-based engineer (implied from the 'Why You Should Apply' section).

Nice to Have

• Experience in AI safety and optimization.
• Understanding of large language models (LLMs).

Benefits

• Salary in USD
• 100% Remote

About Company

If you are a LATAM-based engineer who has mastered the art of prompting and AI-assisted development, this is your chance to turn those skills into a career. You'll work on the cutting edge of AI safety and optimization, helping ensure large language models are reliable and effective through scalable, automated evaluation.

How to Apply

Apply via the provided application link.