Location: Remote (LATAM) / Bangalore, India
Job Type: Full-time
Work Schedule: 5.5 Days a Week (Sunday Off)
Salary: USD 100,000 – USD 200,000 per year
About the Opportunity
One of our clients is looking for an experienced RL Engineer to join their growing engineering team. This is an exciting chance to work on cutting-edge Reinforcement Learning (RL) environments and AI agents that power next-generation AI applications.
As one of the first engineering hires, you will work closely with the leadership team, contribute to core technical decisions, and play a key role in building scalable AI solutions.
Key Responsibilities
- Design, build, and optimize Reinforcement Learning (RL) environments using proprietary datasets.
- Develop and deploy production-grade AI agents for enterprise applications.
- Build scalable, high-quality RL pipelines and infrastructure.
- Collaborate closely with cross-functional teams to deliver AI-driven solutions.
- Leverage AI-native development tools to improve engineering productivity.
- Contribute to technical architecture and engineering best practices.
Required Qualifications
- 3–7 years of software engineering experience with strong Reinforcement Learning (RL) fundamentals.
- Hands-on experience building RL environments in production.
- Experience working with AI agents and deploying them in real-world applications.
- Strong proficiency with AI-assisted development tools such as Claude Code, Cursor, or similar.
- Excellent problem-solving and software engineering skills.
- Ability to work with overlapping PST business hours.
- Willingness to work a 5.5-day work week.
Preferred Background
Candidates with experience in Reinforcement Learning, AI infrastructure, or human data platforms will be highly preferred.
Compensation & Benefits
- Competitive salary: USD 100,000 – USD 200,000 per year
- Remote work opportunity (LATAM) or Bangalore-based role
- Opportunity to work on frontier AI and Reinforcement Learning technologies
- High ownership with significant career growth potential
If you have a passion for Reinforcement Learning, AI Agents, and building production-scale AI systems, we'd love to hear from you.
Apply now or share your updated resume with us to be considered for this opportunity.