RL Engineer (AI Agents & Reinforcement Learning)
Location: Remote (LATAM & India)
Salary: USD $7,000 - $9,000/month (LATAM) | USD $25,000 - $50,000/year (India)
Employment Type: Full-Time
Exclusive Opportunity: Yes
Company Overview
The company specializes in building proprietary datasets and training environments for advanced artificial intelligence models, partnering with leading AI labs and enterprise customers.With strong growth and a lean team, this is an opportunity to work directly with the founders and help build the engineering function from the ground up.
The Challenge
We are looking for an RL Engineer to develop Reinforcement Learning environments and AI agents used in real-world applications.
This will be the company's first engineering hire, with direct involvement in architecture decisions, product development, and the evolution of the technical platform.
Key responsibilities:
- Build Reinforcement Learning environments using proprietary datasets
- Develop and deploy AI agents for enterprise customers
- Create evaluation and training systems for AI models
- Contribute to technical decisions and architecture design
- Support the growth of the engineering function as the company scales
Must Have
- 3 to 7 years of Software Engineering experience
- Professional experience with Reinforcement Learning (RL)
- Professional experience developing AI Agents or AI-powered applications
- Experience working at AI, Human Data, Data Labeling, or AI Training companies
Desired Skills
- Experience with RLHF (Reinforcement Learning from Human Feedback)
- Experience building training environments for AI models
- Knowledge of LLMs and agentic workflows
- Experience with TypeScript
- Experience with AWS
- Experience with React Native or Swift
- Experience in early-stage startups
- Experience at companies such as Scale AI, Surge AI, Mercor, Turing, or similar organizations
- Familiarity with AI-native tools such as Claude Code, Cursor, or similar
Soft Skills
- Hands-on mindset
- Ability to work autonomously
- Strong sense of ownership and execution
- Comfortable operating in fast-paced environments
- Strong communication and collaboration skills
Benefits
- Fully remote work
- Direct exposure to the founders
- Opportunity to become the first engineer in the company
- Significant growth opportunities as the company scales
- Exposure to cutting-edge AI projects