SDE Intern (Full Stack & AI)

About the Role

• Job Title: SDE Intern (Full Stack & AI)
• Company: Aleph Technologies
• Location: Pune (Hybrid) / Remote within India
• Duration: 6 months
• Start Date: December (slightly flexible)
• Type: Paid internship

Before You Apply

• Your resume MUST include:
• A link to your GitHub.
• At least one project you built, with a link (repo, deployed app, or demo video).
• For group projects, clearly state your contributions.
• Applications without GitHub and project links will not be reviewed.

About Aleph

• Aleph Technologies builds intelligent systems to solve complex operational challenges in asset-intensive industries like aviation and logistics.
• Their product, Aleph Aero, is an AI-powered airport operations platform.
• The team is small and fast-moving. Interns work directly with the founding team on production systems.

The Role

• Most of the work is on the backend.
• You will work on a Python codebase covering API services, optimisation, simulation, analytics, and an AI agent layer.
• You will also work on the screens used by airport planners.
• This internship involves writing code that ships, participating in design discussions, and seeing your work used in real operational settings.

Key Responsibilities

• Build and extend backend services and APIs in Python, guided by senior engineers.
• Build features in the AI agent layer, specifically LLM tool-calling that interacts with the operational model.
• Test and evaluate AI behavior on real scenarios, identifying failure points.
• Transform real operational data (CSV, Excel, JSON) into models for planner decision-making.
• Analyze data limitations and document assumptions.
• Build and refine React screens to visualize your work for planners.
• Write tests, debug issues, and improve work based on feedback.
• Work in short build–deploy–learn cycles using Git, pull requests, and async communication.

Requirements & Tech Stack

• Solid Python fundamentals.
• Some backend experience from internships, coursework, or personal projects (APIs, data models, services).
• Comfort with Git and collaborative workflows.
• Ability to debug and explain your own code.
• Comfort working with tabular data, spreadsheets, and files.
• Good written communication skills (for async and distributed work).
• Self-starter energy.

Great to Haves

• FastAPI, Flask, or similar frameworks.
• SQLAlchemy, Postgres, NetworkX, pytest, or async Python.
• Hands-on experience with LLM APIs, function/tool calling, or agent frameworks (e.g., LangGraph).
• Basic React and TypeScript.
• Interest in simulation, optimisation, queueing, or operations research.
• Interest in aviation, logistics, or operations.
• Any end-to-end projects you have built and can showcase.

Qualifications

• Pre-final and final year students and recent graduates are welcome.
• Aleph Technologies values what you can build and how you think, not where you went to school.

Why Aleph

• Real impact from day one, with work used by airport planners at large international hub airports.
• Direct access to the founding team.
• Ownership of real work in the product.
• Regular mentorship and feedback.
• Challenging problems in modelling, optimisation, AI agents, and operational data.
• A clear path to full-time employment for strong performers.

How to Apply

• Apply through LinkedIn and answer all screening questions.
• Applications are reviewed on a rolling basis.
• Shortlisted candidates will receive an email with next steps.