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Super AI Polaris Private 's logo

Tech Lead

mamta rani's profile picture
Posted by mamta rani
4 - 6 yrs
₹6L - ₹11L / yr (ESOP available)
Gaziabad
Skills
skill iconPython
Large Language Models (LLM) tuning
PyTorch
FastAPI
skill iconReact.js
skill iconPostgreSQL
NOSQL Databases
Software architecture
Web performance optimization
Computer Vision
Artificial Intelligence (AI)

We are seeking a Developer Team Lead who will own the technical execution, architecture, and delivery of Super AI’s core platforms and customer implementations. This role requires a hands-on leader who can guide full-stack and AI engineers, ensure high-quality code, and translate business and government requirements into scalable, secure, and production-ready systems.

The ideal candidate is equally comfortable writing code, reviewing architectures, mentoring developers, and collaborating with product, pre-sales, and leadership teams.

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Super AI Polaris Private

Founded :
2020
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

About

N/A

Company social profiles

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Most QA teams test software. We want someone who builds a machine that gets better at testing software every time it encounters a bug. 

This is not a role for someone who "uses AI tools." This is a role for someone who thinks like an architect. You will design a QA system that is legible to machines — structured, documented, and self-improving — so that the knowledge of every bug ever found is permanently encoded, queryable, and feeds back into the next test cycle. The goal is simple: the longer you are here, the harder it should be for us to ship a bug. 

You will own quality for Cash, a digital lending app (short-term personal loans) on Android and web — and that ownership extends from the front end all the way through to the back end. 

You are the first QA hire. You will build this function from scratch. 

There is no existing QA process today. No tooling is chosen. No taxonomy exists. No team is in place. You are the founding hire for this function.

Your first 60 to 90 days will be spent laying the foundation: choosing the tools, defining the bug taxonomy, writing the first skills, and establishing what "done" means across the engineering org. Once that foundation is stable, you will define the team structure you need, propose it, and then lead the hiring yourself. The engineers who join QA after you will be hired because you decided you needed them. 

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What you will own 

The knowledge base 

Every bug you find — whether in QA or in production — gets documented in a structured, machine-readable format. Not just "what broke" but: what flow triggered it, what the borrower context was, what data state preceded it, what the expected behaviour was, what the actual behaviour was, and which class of error it belongs to. Over time, this becomes Cash's QA Wikipedia — a corpus that an LLM can read and use to generate new test cases, that a new engineer can query to understand failure patterns, and that you can analyse to find where the product keeps breaking. 

This is not documentation for its own sake. It is infrastructure. The test suite is only as good as the knowledge base behind it. 

Skills, not scripts 

For every recurring testing workflow — new feature regression, release smoke test, critical-path sanity check, payment flow validation — you will build a skill: a reusable,

prompt-able test protocol that is AI-executable. When a new engineer joins, they run the skill. When an AI agent is asked to help test a release, it reads the skill. The skill improves every time a bug gets through it. 

The feedback loop 

Every production issue must close the loop. When a bug is found in production, you trace back why the QA cycle did not catch it, update the relevant skill, and add the scenario to the knowledge base. No bug should be found in production twice for the same underlying reason. 

Coverage — front end and back end 

Front end (Android and web) 

● Onboarding and Know Your Customer — Aadhaar/PAN flows, video KYC, bureau pulls 

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Back end 

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Failure-state and idempotency testing 

Disbursements and repayments involve real money. What happens if the payment gateway times out mid-disbursement? What happens if a repayment webhook is delivered twice? What happens when a bureau call fails mid-application? You will own failure-path and retry-logic testing explicitly — not as an edge case, but as a first-class part of every release cycle. 

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Notification and communication testing 

sends SMS, push notifications, and WhatsApp messages at specific borrower lifecycle triggers. You will test correct trigger conditions, correct content, correct recipient,

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Feature flag and staged rollout validation 

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production, and whether the front end or back end is the higher source of production risk 

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● You have hired or mentored QA engineers before 

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Most QA roles are reactive. A bug is found, a ticket is filed, the developer fixes it, QA closes it. The institutional knowledge of why that bug happened lives in someone's head or in a comment nobody will read again. 

We want the opposite: a QA function that compounds. Every bug makes the next release safer. Every production incident makes the test suite smarter. The person who builds that system is not a tester. They are an engineer of quality infrastructure.

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● Annual Report 2024–25 

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Remote Till Covid

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Hi,

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  • Proficient understanding of code versioning tools, such as Git.
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  • Proper understanding of OOPS concepts.
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  • Understanding of startup culture.
  • Good team player, Quick learner.

Regards,
Pavithra
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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