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Senior AI Engineer
Job Description
About the role
There's a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. 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.
What you'll do
- Embed & deploy
- 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.
- Lead pilots and demos, drive adoption, and clear blockers before they stall a rollout.
- Build agentic systems
- 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.
- Own the multi-model inference your agents depend on (text, voice, code, vision) - latency, throughput, and cost.
- Lead
- Set technical direction and standards for agentic systems mentor engineers and partner with ML, product, and security.
What you'll bring
- 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.
Nice to have
- Agentic systems in regulated industries (fintech, payments, credit, healthcare).
- Cloud AI/ML services (AWS SageMaker / Bedrock, Azure ML / Azure OpenAI) multi-cloud or hybrid.
- MCP or agent communication standards agent evaluation and observability tooling.
- Model serving (vLLM, TensorRT-LLM, Triton), fine-tuning, quantization, or LoRA.
- Workflow orchestration (Temporal, Airflow, Prefect) for AI workloads voice / multimodal / edge inference.
- Testing and verification for non-deterministic AI systems.
Why join
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.
Go Big or Go Home!
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
More Info
Key Skills
About Company
Skills:
Python - OpenSystem, Sql Tuning, Python, Database, AI-AI Hyperscalers, AI-Responsible AI, Azure NLP, Technology, AI-Agentic AI, OpenSystem, Responsible AI, Agent Engineering, Azure Agentic AI Services
Skills:
production deployment , secure authentication , Python, Oauth2, FastAPI, Rest Apis, RAG systems, Backend API development, Async workflows, System integrations, CI CD, Embeddings, MCP tool calling, Retries, Scalable system design, Generative AI Agents, Observability, LLMs, Vector databases, Retrieval pipelines, Workers, Webhooks, Queues, Multi-tenant architecture
Skills:
C++, Python, GenAI LLM application development, ML training and evaluation workflows, Scalable system design, Data pipelines and model pipelines, Deployment observability and production readiness
Skills:
audit trail , Templates, Logging, Microservices, Data Science, LLMs, reusable components, prompt injection defenses, online evaluation, AI tooling, ML APIs, PII handling, feedback capture, Compliance, Security, RAG agents, Safety, SDKs
Skills:
Terraform, Retrieval evaluation, Production RAG at scale, LLM-as-judge, Graph RAG entity and relationship extraction, OpenAPI MCP, Cortex Analyst or demonstrable equivalent, eval harness, Agent Engine ADK or equivalent framework with A2A, Critic agent guardrails, Snowflake Cortex Search, regression gating, GCP Vertex AI, SDLC literacy, graph construction, hallucination rate attribution, golden sets, Coordinator hardening