AI Engineer
Company: PayU Finance India | Experience: 4–7 years | Location: India — Hybrid (Gurugram / Bangalore)

Type: Full time, IC

About the Role

We need an AI Engineer who ships production AI systems — not prototypes. You'll build AI-powered backend services, autonomous agents, and intelligent integrations that directly impact lending decisions and operational e ciency.

You own the full lifecycle — from evaluating a new LLM capability to deploying an agent that handles real tra c with real financial consequences.

Prior hands-on experience building and deploying AI-powered systems in production is a must.

What You'll Do

Build AI Systems

• Deploy AI agents for lending workflows — document verification, bureau analysis, risk assessment, customer communication

• Build MCP servers and tool integrations extending AI across internal systems

• Implement RAG pipelines over lending policies, regulatory docs, and knowledge bases

• Develop function-calling and tool-use patterns for safe LLM interaction with databases and APIs





• Build evaluation and guardrail frameworks to catch hallucinations and enforce compliance

Engineer the Backend

• Architect scalable services using Java, Spring Boot, and Python for production AI features

• Design schemas using SQL and NoSQL databases optimized for AI workloads

• Build RESTful APIs serving model inference at low latency and high throughput

• Integrate with credit bureaus, banking partners, and payment gateways Raise the Bar

Code reviews for AI patterns and security, optimize token costs and latency, establish AI observability, and drive AI-assisted development (Cursor, Copilot) across the team.

Review and validate AI-generated code for correctness, security, and project standards. Build test suites, guardrails, and eval frameworks for prompts and agent behaviors — with continuous benchmarks, drift detection, and human-in-the-loop review before production.

Required Skills

Backend Engineering

Area

Expectation

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📌 AI Engineer (Gurugram)
🏢 PayU Payments
📍 Gurugram