AI Platform Engineer
Posted 16 Apr 2026
Advertised as “Staff AI Platform Engineer - Inference & Agentic Systems”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
About the Role
We are a small team of AI builders in Paytm Labs.As a Staff AI Platform Engineer, you will work across inference and agentic systems. You willcontribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers- running our own coding and domain-specific models (voice, vision, risk, fintech workflows) aswell as third-party models. You will also architect and build the platform that enablesautonomous AI agents to operate safely and reliably in production - the runtime, orchestration,and developer tooling for agents to reason, plan, use tools, and execute complex multi-stepworkflows, automating both software development and business processes.
You will work at the intersection of LLMs, distributed systems, and production fintechinfrastructure, helping define how inference and agentic AI are built and deployed acrosspayments, risk, fraud, collections, support, and developer experience.
What You'll Do
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Inference & Model Serving
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Build and operate multi-model serving across modalities (text, voice, code, vision) on shared infrastructure
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Own the model lifecycle: download, deploy, serve, monitor, update, swap
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Drive inference optimization: latency, throughput, cost - including quantization, batching, caching, and routing strategies
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Ensure inference is fast and reliable for the agents and systems that depend on it
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Agentic Systems
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Architect and build the Agentic AI Platform - runtime infrastructure, orchestration systems, and developer tooling for autonomous agents
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Design multi-agent coordination systems enabling agents to collaborate and solve complex workflows
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Build robust tool-use infrastructure that allows agents to interact with APIs, databases, and services safely
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Implement workflow automation: agents that execute multi-step business and engineering tasks with appropriate guardrails
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Build safety and guardrail systems including permissioning, sandboxing, and human-in-the-loop workflows
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Develop evaluation and observability frameworks to measure agent behaviour, detect regressions, and debug failures
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Develop SDKs and APIs that allow internal teams to build and deploy agents quickly and safely
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Platform & Technical Leadership