Senior Software Engineer (Agentic AI)

Responsibilities

• 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 and external data sources.
• Design and maintain RAG pipelines with vector databases like Pinecone, pgvector, or Weaviate for document intelligence.
• Write reliable prompt pipelines with structured output parsing, retry logic, and production guardrails.
• Build human-in-the-loop checkpoints, including approval gates and audit trails for high-stakes financial decisions.
• Write deterministic tests for non-deterministic agent behavior using golden datasets and regression suites.
• Instrument agents with observability tooling such as LangSmith or Datadog to monitor token usage and latency.
• Containerize and deploy services on AWS using Docker and CI/CD via GitHub Actions.

Requirements

• 3–5 years of full-stack engineering experience in production environments.
• Solid Core Java fundamentals, including OOP principles, collections, 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 such as LangChain, LangGraph, or AutoGen.
• Familiarity with vector databases and RAG pipeline design.
• Experience with PostgreSQL, Redis, and cloud-native AWS services (Lambda, S3, ECS).
• Proficiency with Docker and CI/CD pipelines.

About the Company

Yubi is redefining global debt markets by facilitating the flow of finance between borrowers, lenders, and investors. As a fintech unicorn, Yubi provides a holistic product suite that serves over 17,000 enterprises and 6,200 investors, facilitating massive debt volumes through its specialized platforms.