Software Engineer AI

About Netcore UNBXD

Netcore Cloud is a global Martech and Product Discovery leader, enabling brands to deliver intelligent, hyper-personalized customer experiences at scale. Our platform processes billions of events daily, combining advanced data engineering, real-time decisioning, and machine learning to power high-performance SaaS solutions used by thousands of enterprises worldwide.

We operate at the intersection of distributed systems, AI innovation, and large-scale infrastructure — solving complex engineering problems that directly impact global businesses.

The Opportunity

We are looking for a high-impact AI Engineer who thrives in solving large-scale data challenges. You will play a key role in architecting and building intelligent systems that power personalization, automation, and predictive insights across our Martech ecosystem.

This role demands strong engineering fundamentals, system-level thinking, and a deep interest in scalable AI systems.

Key Responsibilities

- Architect and develop scalable, high-throughput Data and ML pipelines.
- Design real-time and batch processing systems for large-scale event streams.
- Build robust, production-grade ML workflows and inference systems.
- Optimize distributed systems for performance, reliability, and cost efficiency.




- Collaborate cross-functionally with Product, Analytics, and Platform teams to deliver intelligent features.
- Contribute to system design discussions and drive engineering best practices.

Core Requirements

- Strong proficiency in Java, Golang, or Python.
- Hands-on experience in data engineering and ML systems development.
- Deep understanding of distributed systems, scalability, and performance tuning.
- Experience with big data frameworks such as Spark, Storm, or Apex.
- Robust foundation in data structures, algorithms, and system design.
- Experience building production-ready systems in cloud environments.

Preferred Qualifications

- Experience with Kafka, Hadoop, Hive, Vertica, or Spark Streaming.
- Exposure to containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with ML lifecycle tools such as Kubeflow or AWS Batch.
- Experience with real-time personalization, recommendation systems, or predictive analytics.

What Makes This Role Exciting

- Work on AI systems operating at massive scale.
- Influence architectural decisions in a rapidly growing SaaS company.
- Solve real-world engineering challenges impacting global enterprises.
- High ownership, high visibility, high growth.

📌 AI Engineer ( Platform Team) (Bengaluru)
🏢 Netcore Unbxd
📍 Bengaluru