Principal AI & DevOps Engineer

Overview

Lead the architecture, development, deployment, and scaling of production-grade AI/ML applications while shaping enterprise AI strategy and technical direction.

What you'll do

• Assess enterprise systems, business architecture, and active AI workstreams.
• Lead discovery sessions to identify operational friction and prioritize AI/ML opportunities.
• Evaluate AI/ML technologies and recommend toolchain improvements.
• Architect and deliver full-stack AI applications using Python backends and JavaScript or Flutter frontends.
• Design context engineering strategies and optimize LLM outputs.
• Build and improve CI/CD pipelines, automated testing, and deployment workflows for LLM applications.
• Establish observability frameworks, track AI performance against KPIs, and present technical solutions to stakeholders.

What you'll need

• Bachelor's or Master's degree in Computer Science or an equivalent field.
• 8–12 years of hands-on full-stack development experience.
• Deep experience with CI/CD tooling and deployment workflows.
• Production experience with Infrastructure as Code.
• Experience with data quality, pipeline integrity, and dataset governance.
• Experience with monitoring tools such as AWS CloudWatch.
• Ability to mentor peers and communicate AI/ML architecture to technical and non-technical audiences.

Details

• Location: Mumbai, India.