Senior Full Stack Engineer - Applied AI

Uplers Solutions Private Limited.; Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Basavanagudi office access

Job summary

Sports Connect in Bengaluru is seeking a Senior Full Stack Engineer - Applied AI to own the complete stack, from frontend to data services, and to build production AI features that turn sponsorship data into compelling visuals and pitches.

You will own the media pipeline, evaluation tooling, and end-to-end shipping, working on realistic customer needs and high-impact projects. This role is hybrid, with one day per week in Basavanagudi, Bengaluru.

Qualifications

• Around five years building production software with ownership of live systems.
• Strong full-stack capabilities across frontend, backend, and data integration.
• Hands-on experience with LLM APIs, cost, latency, and reliability tradeoffs.
• Able to debug unfamiliar systems and improve non-original code.

Responsibilities

• Own the whole stack: frontend, backend, database, and API integrations.
• Apply AI to turn sponsorship data into visual concepts and pitch material.
• Develop evaluation tooling, regression tests, and track quality and latency.
• Oversee media pipeline, including video editing and rendering components.
• Ship features end-to-end with a focus on production readiness.

Skills

LLM

AWS

Docker

Node Js

PostgreSQL

R Python

React Js

RESTAPI

TypeScript

Job description

Experience: 4.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid ()

Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - Sports Connect)

What do you need for this opportunity?

Must have skills required:

LLM, AWS, Docker, Node Js, PostgreSQL, R Python, React Js, RESTAPI, TypeScript

Sports Connect is Looking for:

Senior Full Stack Engineer - Applied AI

We are an AI-native platform for the sponsorship economy. Sports teams use us to turn their sponsorship inventory and a brand''s objectives into visual concepts, tailored pitches and the films that win deals. Work that used to take a designer two weeks now takes hours.

We are live with fifteen teams across nine leagues, including clubs in the NFL, MLB, NBA, NHL and MLS. Three founders, out of MIT. You would be our first engineering hire in India.

THE HONEST VERSION OF THIS JOB

Our CTO built this platform largely with AI coding tools. It works. Real customers, real usage, real revenue. It also has the shape you would expect from that: patterns that differ between files, test coverage that is thin in places, and decisions nobody wrote down.

You are not joining to maintain somebody''s tidy codebase. You are joining to take ownership of a working product that needs a proper engineer''s hands on it, and then to build the next two years of it.

If that reads as a problem, this is not your role. If you have inherited a system before and found the archaeology satisfying, keep reading.

What You Will Own

The whole stack. Frontend, backend services, database, API integrations. There is nobody else to hand a ticket to.

Applied AI. Generative models that turn sponsorship inventory and brand context into visual concepts and pitch material. Production AI, not a demo.

Evaluation infrastructure. Harnesses and regression tests that let us compare models, validate prompt changes, and track output quality, latency and inference cost. This barely exists today and it matters more every month.

The media pipeline. Timeline-based video editing. Clip trimming and sequencing, transitions, audio synchronisation, rendering and export. Genuinely hard engineering, and the part customers notice most.

Shipping. Design, build, test, deploy. Customer bugs come to you.

What We Are Looking For

Around five years building production software, with real ownership of something live.

Strong across the stack, with a view on where logic belongs rather than just the ability to write both halves.

You have inherited a codebase you did not write and made it better without rewriting it.

Working knowledge of LLM APIs and the practical tradeoffs: cost, latency, reliability, evaluation.

You debug well. Given an unfamiliar system and a failing case, you find the cause rather than the symptom.

Nice to have: media processing (FFmpeg, rendering pipelines), computer vision, evaluation tooling, early-stage experience, any interest in sport.

SETUP

Hybrid. At least one day a week together in our Basavanagudi office, the rest is yours. If you live in South Bengaluru, you never touch the Outer Ring Road.