Senior Software Engineer (Agentic AI)

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Fintech • Analytics • Financial Services
The Role
Build and deploy agentic AI systems that automate debt-market workflows, including underwriting and collections. Develop Java and Spring Boot services, LLM reasoning pipelines, tool integrations, RAG systems, guardrails, human approval checkpoints, audit trails, testing frameworks, observability, and AWS deployments. Contribute to architecture, code reviews, Agile ceremonies, and peer mentoring.
Summary Generated by Built In

ABOUT YUBI

Yubi (formerly CredAvenue) is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors — the world's possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. In March 2022, we became India's fastest fintech unicorn with a $137M Series B. Our platforms — Yubi Credit Marketplace, Yubi Invest, Financial Services Platform, Spocto, and Corpository — serve 17,000+ enterprises and 6,200+ investors, facilitating over ₹1,40,000 crore in debt volumes. Backed by Insight Partners, Sequoia Capital, Dragoneer, B Capital, LightSpeed, and Lightrock.

ROLE OVERVIEW

As a Senior Software Engineer on Yubi's Agentic AI team, you will build and deploy intelligent agents that automate complex debt-market workflows — from credit underwriting to collections orchestration. You will own features end-to-end: writing Java backend services, and wiring LLM-powered reasoning chains that turn financial processes into reliable, auditable pipelines. You will contribute to architecture decisions, mentor peers, and help raise the bar for engineering quality across the team.

KEY RESPONSIBILITIES

Agentic AI Development

  • Build multi-step AI agent pipelines using LangChain, LangGraph, or custom orchestration to automate lending and compliance workflows.

  • Implement tool-use and function-calling layers connecting LLMs to internal APIs, bureau data, GST, and MCA sources.

  • Design and maintain RAG pipelines with vector databases (Pinecone, pgvector, Weaviate) for document intelligence and semantic search.

  • Write reliable prompt pipelines with structured output parsing, retry logic, and guardrails for production robustness.

  • Build human-in-the-loop checkpoints — approval gates, anomaly escalation, and audit trails — for high-stakes decisions.


Quality & Collaboration

  • Write deterministic tests for non-deterministic agent behaviour using golden datasets and regression suites.

  • Participate actively in code reviews, architectural discussions, and Agile ceremonies.

  • Instrument agents with observability tooling (LangSmith, Datadog) to monitor token usage, latency, and failure modes.

  • Containerise and deploy services on AWS using Docker and CI/CD via GitHub Actions.



Requirements

REQUIRED SKILLS & QUALIFICATIONS

Technical

  • 3–5 years of full-stack engineering experience in production environments.

  • Solid Core Java fundamentals — OOP principles, collections framework, multithreading, and exception handling.

  • Proficiency in Spring Boot for building scalable REST APIs and microservices.

  • Hands-on experience integrating LLM APIs: OpenAI, Anthropic, Gemini, or open-source equivalents.

  • Working knowledge of agent frameworks — LangChain, LangGraph, AutoGen, or similar.

  • Familiarity with vector databases and RAG pipeline design.

  • Experience with PostgreSQL, Redis, and cloud-native AWS services (Lambda, S3, ECS).

  • Comfortable with Docker and CI/CD pipelines.



Skills Required

  • 3-5 years of full-stack engineering experience in production environments
  • Strong Core Java fundamentals, including OOP, collections, multithreading, and exception handling
  • Proficiency with Spring Boot for scalable REST APIs and microservices
  • Hands-on experience integrating LLM APIs such as OpenAI, Anthropic, Gemini, or open-source equivalents
  • Working knowledge of agent frameworks such as LangChain, LangGraph, AutoGen, or similar
  • Familiarity with vector databases and RAG pipeline design
  • Experience with PostgreSQL, Redis, and AWS services including Lambda, S3, and ECS
  • Comfort with Docker and CI/CD pipelines
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The Company
HQ: Chennai, Tamil Nadu
Year Founded: 2020

What We Do

Yubi is the world's first possibility platform powering the discovery, investment, fulfilment of credit. We are re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. Yubi stands for ubiquitous, being present wherever our customers need us. From being a disruptor in India’s debt market to marching towards global corporate markets, we will unlock greatness together. We are on a mission to deepen and power the $120 Trillion global enterprise debt market which would unlock a GDP multiplier and thus, create massive economic value. The Yubi product suite is leading the empowerment of small, medium, and large enterprises on one side, and growing a healthy loan book for the larger Banking ecosystem on the other. As a debt platform for enterprises, lenders and investors, we offer the most comprehensive bouquet of debt products. Our suite of product offerings ensures that as a participant in the debt market - you find just what you are looking for! We believe that access to prudent finance is the right of all global citizens and that is what drives all of us here at Yubi. The future of finance starts here, propelled by technology, transparency, and mutual trust.

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