SDE Intern - RL Environments (Freelancer)

About Us:

Deccan AI experts is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.

About the Role:

We are seeking a highly motivated SDE Intern RL Environments to help design, build, and optimize simulation environments for training Reinforcement Learning (RL) agents. This role is ideal for students or early-career engineers passionate about AI systems, environment design, and scalable experimentation infrastructure.

As an intern, you will work closely with AI researchers and engineers to create realistic, modular, and performance-optimized environments that enable effective agent training and evaluation.

Responsibilities:

• Build low-latency tool execution pipelines, mock services, and sandboxed runtimes.
• Create automated test harnesses, regression runners, and scenario replay systems.
• Build MCP-compatible tool replicas with request/response schemas & strict error.
• Develop browser/UI simulation layers that support click, type, scroll, & navigation.
• Implement and maintain environment state management, transitions, and sideeffect modeling.
• Develop internal SDKs, helper libraries, and integration APIs for tool and environment extensions.

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, AI, or related field.
• Strong programming skills in Python.
• Understanding of basic Reinforcement Learning concepts (MDPs, reward functions, policy, value functions).
• Familiarity with PyTorch or TensorFlow.
• Problem-solving mindset.

Why Join Us

• Work on high-impact projects that contribute to building AI for Good.
• Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
• Opportunity to grow in a fast-paced, innovation-driven environment.

NOTE: This will be a flexible freelancing opportunity. Pay will vary by project and typically is up to 1500 per hour.