You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely. Tackle greenfield problems alongside internal teams and customers — scope ambiguous needs and build agents from scratch that fit how they actually work.

Own deployments end-to-end: discovery, build, integration, activation, and the tuning that earns trust and adoption. Architect agentic systems — reasoning, planning, tool use, memory, multi-agent coordination — that run real workflows with guardrails. Build safe tool‑use infrastructure across APIs, databases, and services, with permissioning, sandboxing, and human‑in‑the‑loop.

Ship SDKs, patterns, and reusable blueprints so internal teams build and deploy agents fast.

Make it reliable: Design and run rigorous evals: measure quality, catch regressions, and feed results back into the system. Build observability, tracing, and guardrails that prove agents are safe and keep them safe as models and data drift.

Lead: Set technical direction and standards for agentic systems; mentor engineers and partner with ML, product, and security. 5+ years in software engineering, with 3+ in AI systems or LLM applications,



and production systems shipped end-to-end. Solid 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; A bias toward shipping and comfort operating without a clean spec. Solid understanding of agentic security risks (prompt injection, privilege escalation, data leakage).

Cloud AI/ML services (AWS SageMaker / Bedrock, Azure ML / Azure OpenAI); Model serving (vLLM, TensorRT‑LLM, Triton), fine‑tuning, quantization, or LoRA. Workflow orchestration (Temporal, Airflow, Prefect) for AI workloads; Testing and verification for non‑deterministic AI systems. Be among the first to define how agentic AI ships across a company running payments and credit at massive scale — with direct line of sight from your work to the outcome, and broad ownership across both the platform and the field.

Paytm

Labs believes in diversity and equal opportunity and we will not tolerate any forms of discrimination or harassment.

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).

📌 Remote AI Engineer (Toronto)
🏢 Paytm
📍 Toronto