Job Title : AI Engineer Knowledge Graphs & Agentic Systems

Location : Bangalore, India

Experience : ~2 Years

Type : Full-Time

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 AIand bring relevant innovations into our stack.

What We're Looking For :

Experience &

Skills :

- 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.

Mindset :

- A relentless drive to create value for customers, for the team, for the product.
- Curiosity to go deep into lending/banking domain and become a domain-aware engineer.
- Comfort with ambiguity and the pace of an early-stage startup.
- Robust ownership mentality you see things through from idea to production.

📌 Artificial Intelligence Engineer - Knowledge Graph & Agentic AI (India)
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