AI Developer, Digital Enterprise

Overview

AI Developer (Digital Enterprise) to design, implement, and scale advanced AI solutions across an end-to-end AI platform lifecycle.

What you'll do

• Own end-to-end AI platform lifecycle from infrastructure and MLOps pipelines to production deployment.
• Design and run AI/ML platform components including training clusters, feature stores, and inference services.
• Build infrastructure-as-code for scalable deployments using Terraform and ARM templates.
• Implement CI/CD pipelines for automated model training, testing, and deployment.
• Integrate AI services with existing systems via APIs, messaging, and data pipelines.
• Monitor performance, reliability, and model drift with alerting and incident-response runbooks.
• Write and maintain reusable code and libraries using C#, Python, and Java.

What you'll need

• 3 to 5 years of work related experience.
• 3+ years in software engineering roles, including 2+ years building and operating AI/ML platforms.
• Proficiency with cloud services for compute, storage, and networking (e.g., AWS, Azure).
• Hands-on experience with Docker, Kubernetes, and Helm.
• Experience with MLOps pipelines using GitLab CI, Argo CD, and MLflow.
• Advanced Python including async and multithreading, with familiarity with C#, Python, or Java.
• Experience designing RAG/agentic workflows using LangChain and LangGraph.

Details

• Location: Bangalore, India.
• Travel: No travel.
• Worker type: Regular / Permanent.