Senior Software Engineer (Agentic AI)

Yubi Co; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Yubi, a fintech unicorn redefining debt markets, is seeking a Senior Software Engineer for the Agentic AI team in Bengaluru. You will build and deploy intelligent agents that automate complex workflows, from underwriting to collections, using Java backend services and LLM-powered reasoning chains.

You will own features end-to-end, contribute to architecture, mentor peers, and ensure robust, auditable pipelines with strong observability, CI/CD, and containerised deployments on AWS.

Qualifications

• 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.

Responsibilities

• Build multi-step AI agent pipelines using LangChain, LangGraph, or custom orchestration for 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 for document intelligence and semantic search.
• Write deterministic tests for agent behaviour using golden datasets and regression suites.
• Instrument agents with observability tooling to monitor token usage, latency, and failure modes.
• Containerise and deploy services on AWS using Docker and CI/CD via GitHub Actions.

Skills

Java

Spring Boot

REST APIs

Microservices

Multithreading

OOP Fundamentals

LLM integration

Agile/Scrum

Code reviews

Observability

Full-stack engineering

Tools

LangChain

LangGraph

AutoGen

Pinecone

pgvector

Weaviate

Datadog

LangSmith

OpenAI API

Anthropic API

Gemini API

GitHub Actions

Docker

AWS

PostgreSQL

Redis

Job description

Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.

From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products

Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.

Job Description

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.