SDE Intern

Position: Software Development Engineer (SDE) Intern — LBM Platform

Location:

Duration:

Stipend:

About Assessli

Assessli

Physical AI Companion

core LBM architecture

Role Overview

SDE Intern

Python, FastAPI, databases, APIs, and AI pipelines

Key Responsibilities

• Assist in developing and maintaining 

  backend services and APIs

   for LBM.
• Contribute to data pipelines, agent frameworks, and real-time behaviour tracking modules.
• Work with the AI team to integrate inference models and data-driven recommendation systems.
• Optimize existing codebases for performance, reliability, and scalability.
• Participate in design discussions and contribute ideas to product architecture.
• Write clean, testable, and well-documented code.

Required Skills

• Strong knowledge of 

  Python

  , 

  Node.js

  , or 

  Go

   (any one).
• Understanding of 

  APIs, data structures, and OOP concepts.

• Basic exposure to 

  databases (PostgreSQL / MongoDB / Redis)

  .
• Familiarity with 

  version control (Git)

   and RESTful API development.
• Curiosity about 

  AI systems, behavioural data, and distributed architecture.

• Strong problem-solving mindset and eagerness to learn from mentors.

Good to Have

• Experience with 

  FastAPI

  , 

  Graph Databases

  , or 

  Event-Driven Systems

  .
• Interest in 

  Agentic AI

  , 

  AI companions

  , or 

  cognitive computing.

• Previous internship or project experience in backend or AI development.

What You’ll Learn

✅ Building production-level backend and data systems.

LBM

✅ Exposure to real-world product cycles — from idea to deployment.

✅ Mentorship from IIT/IISc/Stanford-trained engineers and scientists.

✅ Certificate of Excellence and pre-placement offer (PPO) for high performers.

Why Join Assessli

build part of the world’s first behavioural AI ecosystem.

At Assessli, you won’t just code — you’ll help design the intelligence layer that connects humans and machines.