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Tier‑1 brand, Bangalore location, mid-level AI role with broad infra+ML requirements drives high competition.
Requires combined infra SRE and ML agent expertise, reducing transferability across non‑tech industries.
Explicit 2–6 years, mandatory infra and model fluency, hands‑on technical screening raises strictness.
Own end-to-end development and deployment of AI-driven automation agents that run, heal, and optimize Razorpay’s large-scale payment infrastructure.
Implement AI copilots to assist on-call engineers by surfacing prior incident resolutions and automating runbook tasks to reduce manual toil and incident response time.
Collaborate with SREs, platform engineers, and developers to replace manual operational processes with autonomous AI systems, delivering measurable impact on incident management efficiency.
2–6 years of relevant engineering experience or outstanding AI engineering/CS academic background (including top Indian or international universities).
Proven expertise in AI model usage and development, including open-source large language model familiarity (e.g., Llama, Mistral).
Hands-on infrastructure knowledge encompassing cloud platforms (AWS, GCP), Kubernetes, Terraform, CI/CD pipelines, and observability tools (Prometheus, Grafana).
Work Experience Required: 2–6 years; Notice Period: Not explicitly mentioned in the JD.
AI-first operational mindset with daily integration of AI tools and custom agent development to enhance workflows.
Strong builder with demonstrable project or open-source contributions showing ability to ship end-to-end AI-driven automation in production.
Infrastructure-literate engineer comfortable navigating complex cloud-native stacks and driven to replace manual, time-intensive operational tasks with scalable AI systems.