AI Engineer

AI Engineer – Knowledge Graphs & Agentic Systems

Location: Bangalore, India

Experience: 2 Years+

Type: Full-Time

About the client

The client is an Agentic platform purpose-built for Lending. It is contextualized with domain

knowledge (Knowledge Graphs), Algorithms, and a Reasoning Layer required for Lending Data

Flows, making it Deterministic and Auditable. Users can generate Financial Analysis, Credit

Underwriting, Credit Memos, Peer Benchmarks, Portfolio Analytics (vintage analysis, yields by

cohort, PAR, roll rates, collections analytics, and more), Customer Growth models (Cross Sell,

Upsell, Churn, propensity models), and Predictive models (PD, LGD, EAD, payment propensity,

etc.)—all in minutes with just a drag and drop of data in its source format.

Key Responsibilities

• Design, build, and optimize multi-agent systems that orchestrate complex lending workflows
• Architect and expand our Knowledge Graph to encode domain expertise across credit, risk, and banking operations
• Develop and refine the Reasoning Layer that enables deterministic, auditable AI outputs
• Collaborate closely with domain experts to translate lending logic into scalable AI components
• Ship production-grade code that directly impacts customers and drives measurable value
• Stay current with advances in LLMs, agentic frameworks, and graph-based AI—and bring relevant innovations into our stack.

Requirements

• 2 years of hands-on experience building multi-agentic platforms or complex AI/ML systems.
• Demonstrated experience working with Knowledge Graphs (construction, querying, reasoning)
• Sharp programming skills in Python; familiarity with frameworks like LangChain, LangGraph, CrewAI, or similar.
• Strong problem-solving ability—you break down ambiguous problems and ship solutions fast
• Native Vibe Coder: You leverage AI-assisted development tools fluently to amplify your output