LATAM RL Engineer
About this role
Join Verita Artificial Intelligence’s engineering team to own end-to-end projects that push the frontier of AI evaluation and generative media systems. You will blend research engineering with platform development, designing novel RL environments while building full-stack, human-in-the-loop tools that power frontier AI labs. This is a high-ownership role where your work directly shapes the data infrastructure and marketplace experiences behind the next generation of generative models.
What youll do
- Design and prototype novel RL environments, agentic systems, and evaluation harnesses.
- Build scalable human-in-the-loop platforms, APIs, and core data infrastructure.
- Own full-stack product surfaces including Next.js dashboards and user-facing marketplace experiences.
- Deploy distributed experiments on Kubernetes and develop Kafka pipelines for annotator analytics.
- Write clean, maintainable code while solving real-world scalability and reliability challenges.
- Collaborate across research, product, and design to ship features quickly.
What Verita Artificial Intelligence is looking for
- Demonstrated experience in reinforcement learning and research engineering.
- Strong full-stack capabilities with comfort owning frontend and user-facing product surfaces.
- Proficiency with Next.js, Kafka, Kubernetes, and modern API development.
- Proven track record building scalable data infrastructure and human-in-the-loop systems.
- Strong CS fundamentals and the ability to translate research papers into working prototypes.
- Excellent communication and collaboration skills across engineering, research, and design.
Company at a glance
Verita AI pioneers next-generation intelligence systems to advance how people learn, work, and think, and is trusted by innovators, enterprises, and market leaders.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
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