Staff Platform Engineer at Paytm Labs building and scaling AI infrastructure for internal teams and enterprise customers. Design and operate GPU infrastructure while handling model hosting and serving.
Responsibilities
Build and scale the infrastructure behind Paytm's AI inference platform
Own GPU infrastructure, model hosting and serving, and multi-model routing
Build self-service platforms for teams to provision, compute, deploy and customize models
Form the AI control plane for Paytm Intelligence (Pi): policy-driven routing, quotas, observability
Directly affect how fast agents and AI features are shipped and how efficiently hardware is used
Requirements
8+ years of software engineering experience, including 3+ years building infrastructure platforms or ML/AI infrastructure
Deep experience with cloud infrastructure (AWS, GCP) and Kubernetes
Hands-on experience with GPU workloads and model serving (vLLM, TensorRT-LLM, Triton, or similar)
Strong software engineering fundamentals in Python, Go, or C++
Experience with infrastructure-as-code (Terraform, Pulumi, CDK)
Experience designing self-service platforms or internal developer tooling
Understanding of model optimization: quantization, batching, serving architectures
Proven ability to lead complex cross-team technical initiatives
Strong communication skills and the ability to influence technical direction.
Benefits
Paytm Labs believes in diversity and equal opportunity.
Commitment to meeting accessibility needs of all individuals.
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