Senior Software Engineer - AI: 842

Senior Software Engineer - AI

About Netcore Unbxd

Netcore Unbxd is an AI-powered product discovery platform recognized by Forrester and Gartner as the global leader in Commerce

Search and Product Discovery, earning Leader status in Gartner's 2025 Magic Quadrant for the second consecutive year. We're

trusted by billion-dollar retailers like Unilever, Waitrose, Express, Puma, Signet, and Advance Auto Parts to power conversions and

revenue through best-in-class product discovery and personalization. We're at the forefront of Agentic AI in commerce — building AI

Shopping Assistants and Autonomous Merchandising Agents that redefine how shoppers find what they want.

Curious what it's like to work here? Check out Life at Netcore - Life at Netcore:

Also Please have a look at our Founder's take on where we're headed: https://www.founderthesis.com/p/rajesh-jain-and-netcore-cloud-the

What do you contribute?

As part of our AI team, you will be responsible for building &

maintaining scalable Data/ML pipelines that support our high performance, scalable, robust SAAS

platform. You will also contribute in building/improving Data Analytics/ML insights applications

& realtime pipelines for our Martech & product discovery platform.

Must have

Overall experience of 4-5 years in building applications at scale.

Proficiency in, at least, one modern programming language such as Java, Golang, Python.

Proficiency in, at least, one data/ml programming language such as Python/Java/Scala.

Hands on experience in Design, Architecture, Implementation, Performance & Scalability

and Distributed Systems.

Experience in big data technologies (spark/Apex/Storm)

You have strong problem solving and analytical skills.

You have an understanding of the full software development lifecycle.

Good To Have

Exposure to Docker, Kubernetes and related ecosystems.

Experience in building high throughput big data pipelines & batch data processing tools

Experience in highly scalable tools like Kafka, Spark, Vertica, Hive, Hadoop.

Experience in ML toolkits like kubeflow / AI workflows/ AWS Batch is a plus