AI Engineer
Wibmo
Software Engineering, Data Science
AI Engineer
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 |
| 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) |
| APIs & Architecture | RESTful APIs, microservices, domain-driven design, event-driven patterns |
| Cloud | AWS (Bedrock, SageMaker, Lambda), GCP (Vertex AI), or Azure (OpenAI, Cognitive Services) |
| DevOps | Git, Maven/Gradle, Docker, CI/CD pipelines |
AI / ML Engineering
| Area | Expectation |
| LLM Integration | Claude, GPT-4, Gemini — API usage, structured output, context management |
| AI Agents & MCP | Built agents with planning, tool-use, memory; developed MCP servers and tools |
| RAG & Vectors | Retrieval-augmented generation — chunking, embedding, reranking, vector search |
| Prompt Engineering | System prompts, few-shot, chain-of-thought, function calling, output parsing |
| Evaluation | Eval pipelines — accuracy metrics, human-in-the-loop review, regression detection |
| AI Dev Tools | 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.