Software Engineer Intern

CodeWiser is building the AI infrastructure for the next generation of engineering education. We are moving beyond standard LMS features to create an industrial simulation engine that tests students on latency, security, and system resilience. We are a high-velocity team building the tools that will define the future of technical hiring and training in India.

You will not be fixing UI bugs. You will be assigned to one of two mission-critical backend systems:

1. Sandboxed Code Execution Engine:

   You will help build a secure, isolated remote code execution service (microservice) that powers our integrated learning environment. This involves handling untrusted code and optimizing for sub-second latency.

2. Code Analysis API:

   You will develop a rapid, high-throughput API designed to perform static analysis, linting, and logical validation on student submissions.

The High-Performance Track:

• Core Framework:

  Next.js (Frontend & Backend orchestration).

• Microservices:

  Node.js or Python.

• Database:

  PostgreSQL.

• Infrastructure:

  Serverless Functions (Vercel/Neon).

• Stack Proficiency:

  You must be comfortable with

  Next.js

  for full-stack logic. For the microservices, deep knowledge of

  Node.js

  or

  Python

  is required.

• Database Skills:

  Working knowledge of

  PostgreSQL

  . You should understand relational schema design and basic query optimization.

• API Design:

  Strong grasp of

  REST API

  principles.

• Serverless Architecture:

  Experience or strong conceptual understanding of deploying to serverless environments (handling cold starts, statelessness, limits).

• Distributed Systems:

  Understanding how to architect systems that communicate asynchronously and handle failures gracefully.

• LLM Experience:

  Any exposure to training, fine-tuning, or implementing RAG pipelines.

• Duration:

  1 Month (Winter Internship / December - January).

• Location:

  100% Remote.

• Compensation:

  Unpaid.

  This is a learning-intensive role designed for students who want to put a production-grade, distributed system on their resume.

• Perks:

  Direct mentorship from the founder, potential for a Letter of Recommendation based on performance, and exposure to cutting-edge AI infrastructure.