SDE Intern - RL Environments

Role Overview: As a member of the Deccan AI team, your main responsibility will be to build low-latency tool execution pipelines, mock services, and sandboxed runtimes. You will also create automated test harnesses, regression runners, and scenario replay systems. Additionally, you will be developing browser/UI simulation layers that support click, type, scroll, & navigation. It is crucial for you to implement and maintain environment state management, transitions, and side effect modeling. Moreover, you will be tasked with developing internal SDKs, helper libraries, and integration APIs for tool and environment extensions. Key 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 side effect modeling. - Develop internal SDKs, helper libraries, and integration APIs for tool and environment extensions. Qualifications Required: - Knowledge in React, PostgreSQL (UI for environment testing, visualizations, workflows). - Proficiency in Python, FastAPI, MCP Servers (tool APIs, environment backend). - Experience with Node.js along with one or more frameworks such as Express.js, NestJS, Fastify. Note: No additional details about the company were provided in the job description.,