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.
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
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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.
Backend Engineering
Area
Expectation
Languages
Java, Python
Frameworks
Spring Boot, Spring Data JPA, Spring Security; FastAPI or Flask
Databases
SQL (schema design, optimization, indexing) and NoSQL (document, key-value, graph)
Daily use of Cursor AI, GitHub Copilot, or equivalent
Education
Bachelor's / Master's in CS, AI/ML, Data Science, or Mathematics — or equivalent hands-on experience. We value what you've built over where you studied.
PayU is an equal opportunity employer.
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