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Paytm

Senior AI Engineer

Paytm

Designing and developing agentic AI systems for live transactions at Paytm Labs. Collaborating with teams and ensuring reliable deployments of AI systems in production environments.

Posted 6/27/2026full-timeToronto • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureDockerKubernetesPythonReact

About the role

Key responsibilities & impact
  • Embed & deploy agents by tackling problems alongside teams
  • Own deployments end-to-end: discovery, build, integration, activation, and tuning
  • Lead pilots and demos, drive adoption, and clear blockers
  • Build agentic systems with reasoning, planning, tool use, and coordination
  • Design safe tool-use infrastructure across APIs, databases, and services
  • Ship SDKs, patterns, and reusable blueprints for internal teams
  • Design and run rigorous evaluations to measure quality and catch regressions
  • Own multi-model inference for agents, focusing on latency and throughput
  • Set technical direction and standards for agentic systems; mentor engineers

Requirements

What you’ll need
  • 5+ years in software engineering, with 3+ in AI systems or LLM applications, and production systems shipped end-to-end.
  • Strong grasp of LLM agent architectures (ReAct, RAG, tool use, multi-agent) and hands-on agentic orchestration and evaluation.
  • Proficiency in Python across a broad stack — pipeline, agent, service, and instrumentation.
  • Production experience on AWS and Azure with containerized deployments (Docker, Kubernetes).
  • Strong customer and stakeholder instincts; able to impose structure on ambiguity and push back when needed.
  • A bias toward shipping and comfort operating without a clean spec.
  • Solid understanding of agentic security risks (prompt injection, privilege escalation, data leakage).
  • Strong written and verbal communication.

Benefits

Comp & perks
  • diversity and equal opportunity
  • accommodations during the recruitment and selection process

ATS Keywords

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Hard Skills & Tools
software engineeringAI systemsLLM applicationsagent architecturesPythoncontainerized deploymentsDockerKubernetesmulti-model inferenceagentic orchestration
Soft Skills
customer instinctsstakeholder instinctsimposing structure on ambiguitypushing backbias toward shippingoperating without a clean specwritten communicationverbal communication