---
title: 'Staff AI Platform Engineer - Inference & Agentic Systems at Paytm'
canonical: 'https://feeny.ai/job/staff-ai-platform-engineer-inference-agentic-systems-paytm-toronto-q1xkmarnztjs'
type: 'job'
last_seen: '2026-10-17'
---

# Staff AI Platform Engineer - Inference & Agentic Systems at Paytm

- **Company:** Paytm
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-16
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.lever.co/paytm/c298cc86-560a-4b3b-87fb-40fb0b9c8ee5

## Job description

## 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 will contribute 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) as well as third-party models. You will also architect and build the platform that enables autonomous 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-step workflows, automating both software development and business processes.

You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience.

## What You'll Do

- Inference & Model Serving
- Build and operate multi-model serving across modalities (text, voice, code, vision) on shared infrastructure
- Own the model lifecycle: download, deploy, serve, monitor, update, swap
- Drive inference optimization: latency, throughput, cost - including quantization, batching, caching, and routing strategies
- Ensure inference is fast and reliable for the agents and systems that depend on it
- Agentic Systems
- Architect and build the Agentic AI Platform - runtime infrastructure, orchestration systems, and developer tooling for autonomous agents
- Design multi-agent coordination systems enabling agents to collaborate and solve complex workflows
- Build robust tool-use infrastructure that allows agents to interact with APIs, databases, and services safely
- Implement workflow automation: agents that execute multi-step business and engineering tasks with appropriate guardrails
- Build safety and guardrail systems including permissioning, sandboxing, and human-in-the-loop workflows
- Develop evaluation and observability frameworks to measure agent behaviour, detect regressions, and debug failures
- Develop SDKs and APIs that allow internal teams to build and deploy agents quickly and safely
- Platform & Technical Leadership
- Define technical direction and architecture for agentic systems across the organization
- Build patterns and standards for agent design, tool calling, and evaluation
- Partner closely with ML, product, and security teams to deliver production-grade agent systems
- Mentor engineers and contribute to best practices for agent system design

## What You'll Bring

- 8+ years of software engineering experience, with 3+ years in AI systems or LLM applications
- Strong understanding of LLM-based agent architectures: tool use, multi-step workflows, multi-agent coordination, and their failure modes
- Experience building highly reliable distributed systems
- Experience evaluating LLM systems in production: building evals, detecting regressions, and debugging non-deterministic failures
- Proficiency in TypeScript or Python, and willingness to work in both: the agent platform is TypeScript on Bun with Temporal workflows on Kubernetes and EC2, the inference platform is Python.
- Experience working with modern LLM APIs or open-source models
- Experience with or strong interest in model serving (vLLM, TensorRT-LLM, Triton)
- Understanding of distributed systems: task queues, event-driven architectures, state management, and durable long-running workflows
- Experience with cloud platforms (AWS, GCP) and containerized deployments
- Strong understanding of security risks in agentic systems (prompt injection, privilege escalation, data leakage)
- Demonstrated experience leading complex technical initiatives
- Strong written and verbal communication skills

## Nice to Have

- Experience building agentic systems in regulated industries (fintech, healthcare, enterprise)
- Familiarity with Model Context Protocol (MCP) or agent communication standards
- Experience with model fine-tuning, quantization, or LoRA
- Experience building CI/CD automation and developer tooling
- Experience adapting workflow orchestration systems (Temporal, Airflow, Prefect) for AI workloads
- Experience with voice models, multimodal models, or edge inference
- Experience designing human-in-the-loop or oversight systems

Go Big or Go Home!

Paytm Labs believes in diversity and equal opportunity and we will not tolerate any forms of discrimination or harassment.  Our people are critical to our success and we know the more inclusive we are, the better our work will be. We thank all applicants, however, only those selected for an interview will be contacted. Paytm Labs is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please let us know.

## About Paytm

## Company Overview
- **One-liner**: Paytm is India’s leading full-stack payments and financial services platform, enabling digital payments for consumers and merchants while distributing loans, insurance, and investment products.
- **Entity Type**: Public (NSE: PAYTM)
- **Headquarters**: Noida, Uttar Pradesh, India
- **Founded**: 2010
- **Founders**: Vijay Shekhar Sharma

## Core Business
- **Primary industries**: Payments, Financial Services, Marketing Services
- **Target customers**: B2C (consumers) and B2B (MSMEs, enterprises, online platforms)
- **Mission/purpose**: “To bring 500 million unserved and underserved Indians to the mainstream economy.” [paytm.com/about-us](https://paytm.com/about-us)

## Products & Services
- **Payment Services (Consumer & Merchant)**: QR code payments, Soundbox devices (with real‑time audio confirmation), All‑in‑One POS terminals, online payment gateway, UPI (including UPI Lite), and card acceptance. _Type_: Hardware + SaaS platform.
- **Financial Services Distribution**: Merchant loans, personal loans, insurance, and equity broking (via Paytm Money). _Type_: Service / marketplace.
- **Marketing Services**: Advertising, travel ticketing (bus, movies, flights), deals & gift vouchers. _Type_: Platform / marketplace.
- **Paytm Money Ltd**: Investment platform for mutual funds, stocks, NFOs. _Type_: App / brokerage.

## Market Standing
- **Valuation / Market Cap**: Not disclosed in provided sources (publicly traded; market cap fluctuates).
- **Key Metric**: Annual revenue estimated at **$758.2M** (LinkedIn, 2025); 39,368 active on‑roll employees in FY 2025. [linkedin.com/company/paytm](https://linkedin.com/company/paytm)
- **Notable Investors / Partners**: Not listed in provided sources (historically backed by SoftBank, Ant Financial, etc. – not verifiable from search results).
- **Growth Signals**: 18.7% YoY headcount growth (+4,811 people); serves **44M+ merchants** and **300M+ consumers**; deepened penetration in tier‑2/3 cities; successfully transitioned to a Third‑Party Application Provider (TPAP) for UPI under a multi‑bank model. [paytm.com/about-us](https://paytm.com/about-us), [paytm.com annual report](https://paytm.com/document/ir/annual-reports/fy2024-25/Paytm_Annual_Report_2024---25.pdf)

## Competitive Advantages
- **Full‑stack merchant payments leader** – owns the merchant relationship, aggregates all major payment instruments, negotiates rates, and provides cutting‑edge hardware (Soundbox, POS).
- **AI‑powered operations** – in‑house platforms Paytm ARMS (merchant lifecycle insights) and Periscope (fraud detection) automate onboarding, segmentation, pricing, and retention.
- **Largest fleet of Soundbox devices** on the street, creating a sticky subscription revenue stream.
- **Massive two‑sided ecosystem** (consumers + merchants) enabling high‑margin cross‑sell of loans, insurance, and marketing services.

## Strategic Focus
- **Payment‑led growth** – continue strengthening merchant payment leadership and expanding the omni‑channel platform.
- **Scale high‑margin financial services** – loan distribution, insurance, and equity broking.
- **Embed an AI‑first approach** across all products and internal processes to drive operating leverage.
- **Explore international expansion** of its technology‑led merchant payments and financial services distribution model. [paytm.com annual report](https://paytm.com/document/ir/annual-reports/fy2024-25/Paytm_Annual_Report_2024---25.pdf)

## Why Work Here
- **Benefits**: Medical insurance for self & family, wellness webinars, mental health support, maternity/paternity benefits, ESOPs, annual bonus, car lease, mobile device lease, employee discounts (Paytm Xtras), learning reimbursement, internal job mobility. [paytm.com/careers](https://paytm.com/careers)
- **Culture**: Innovation‑driven, purpose‑oriented (“simplify lives and fuel growth for millions”), with a strong emphasis on AI and technology. [paytm.com/careers](https://paytm.com/careers)
- **Work policy**: Most roles are **on‑site** (Noida, Mumbai, and other locations). [jobs.lever.co/paytm](https://jobs.lever.co/paytm)
- **Engineering culture**: Self‑driven learning, internal mobility, and the opportunity to work on products used by hundreds of millions of users.

## Sources
1. [Paytm Careers Page](https://paytm.com/careers)
2. [Paytm Job Openings (Lever)](https://jobs.lever.co/paytm)
3. [Paytm About Us](https://paytm.com/about-us)
4. [Paytm LinkedIn Profile](https://linkedin.com/company/paytm)
5. [Paytm Annual Report FY2024‑25 (PDF)](https://paytm.com/document/ir/annual-reports/fy2024-25/Paytm_Annual_Report_2024---25.pdf)

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