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