Staff Core AI Engineer

Company: Calix

Location: Bangalore

Type: Full-time

Posted: 2026-06-11

About this role

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.

Calix is looking for an innovative and experienced Staff Core AI Engineer to develop and deploy end-to-end Gen AI applications. In this role, you will work on developing advanced AI solutions from model development to deployment in production environment. You will work on building scalable, high-performance AI systems for various applications, including Natural language processing (NLP), predictive analysis, Knowledge management, etc. Your work will bridge the research and production turning cutting edge AI searches into impactful solutions for real-world problems. You will be a key player in driving the development, working alongside machine learning engineers, AI researchers, and data engineers to bring these models into production.

Key Responsibilities:

  • Design and develop production software components.
  • Develop efficient data ingestion, feature engineering and data pipelines at production scale.
  • Collaborate with data engineers to preprocess and manage large datasets, ensuring that data pipelines are efficient and optimized for model training.
  • Automate collection and visualization of data, model, and operational metrics.
  • Implement and manage **MLOps pipelines** to automate model deployment, monitoring, and maintenance. Deploy models in scalable production environments using cloud platforms like **AWS, GCP, or Azure**.
  • Work with cross-functional teams, including software engineers and data scientists, to design system architectures that integrate AI models into existing or new platforms.
  • Extend, harden, and scale data processing and ML components.
  • Perform data ingestion, data processing and feature engineering tasks.
  • System integration to bring AI features to other applications and platforms
  • Build and deploy microservices for AI features.
  • Operate...

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