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Tier-1 brand, mid-level experience band, Bangalore location, and popular AI/infra role increase competition.
Requires combined ML model and infrastructure agent expertise, making backgrounds less transferable across industries.
Explicit 2–6 years, hands-on screening, and mandatory LLM-plus-infrastructure skills make hiring filters very strict.
Own end-to-end automation and AI systems for Razorpay’s payment infrastructure including AI agents for incident triage, self-remediation pipelines, and LLM-powered on-call copilots.
Design, build, and deploy production-grade AI-driven workflows that significantly reduce manual toil and improve operational efficiency.
Collaborate closely with SREs, platform engineers, and developers to replace manual incident response and runbook tasks with autonomous AI workflows.
2–6 years of software engineering experience or equivalent from top CS programs or equivalent real-world expertise.
Strong AI-first mindset with daily use of AI tools and fluency in open-source ML models like Llama, Mistral, Qwen, etc.
Practical infrastructure knowledge including cloud platforms (AWS/GCP), Kubernetes (EKS), Terraform, Prometheus, and CI/CD pipelines.
Work Experience Required: 2–6 years of relevant engineering experience
Experienced builder with demonstrable shipped projects, open-source contributions, or internal automation tools indicating ownership and delivery capabilities.
Comfortable operating in ambiguous, high-autonomy environments solving complex infrastructure automation problems with an evaluation-driven approach.
Deep infrastructure literacy to identify automation levers and build impactful AI systems that run without constant oversight.