Software Engineer Intern, Algorithms

About Sanctity AI

Sanctity AI is a bootstrapped startup led by an IIT alum. We're building core intelligence systems for a world where trust, expertise, and decision quality matter more than noise. Small team. Fast loops. Real ownership.

Role overview

We're hiring aSoftware Engineer Intern, Algorithmsto work on ranking, matching, routing, scoring, and optimization problems at the core of our platform.

You'll work closely with the team and under the founder's guidance to help design and improve systems that determine what expertise gets surfaced, to whom, when, and why.

This is an internship for candidates who enjoy mathematics, algorithms, analytical thinking, and building systems that perform well under real-world constraints.

Location and work setup

Primary location:India

Work mode:Remote

Internship type:Paid internship

Duration:3 to 6 months

Expected commitment:Full-time preferred

If any travel, relocation, or in-person collaboration becomes necessary, that will be discussed in advance during the hiring process.

What you'll work on

Design and improve ranking, matching, routing, and optimization systems

Build decision and data pipelines across backend, ML, and infrastructure layers

Turn noisy real-world signals into clear scoring and relevance logic

Support integration of ML and AI models into production workflows

Improve latency, accuracy, scalability, and cost on important system paths

Work in short iteration cycles and contribute to fast technical execution

What you should bring

Strong command of Python, C++, or Java in at least one primary language

Strong foundations in mathematics, Data Structures, and Algorithms

Good analytical reasoning and comfort with constraints, trade-offs, and edge cases

Exposure to graph algorithms, optimization, or system design

Experience with backend systems, APIs, async workflows, PostgreSQL and/or MongoDB is a plus

Exposure to ML pipelines, inference workflows, embeddings, LLMs, or scoring systems is a plus

Clean coding habits and familiarity with Git, Docker, and debugging workflows

What makes someone stand out

Experience building systems where algorithmic choices affected quality, speed, or cost

Comfort onboarding quickly and iterating in short cycles

Strong problem-solving discipline and attention to detail

Ability to collaborate well across engineering and product work

Why join

Work on real algorithmic problems, not only surface-level application work

Build with a small team and direct founder involvement

Get hands-on exposure to proprietary systems and real-world feedback loops

Take meaningful ownership early

Bachelor's degree in CS, Engineering, Mathematics, or equivalent demonstrated depth.

If your fundamentals are strong and the problem excites you, apply.