Lead Engineer (Agentic AI)

Yubi Co; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Yubi is seeking a Lead Engineer (Agentic AI) in Bengaluru to architect and deliver production‑grade intelligent systems that redefine debt capital flows. You’ll lead a pod of engineers, own the technical roadmap for AI agent capabilities, and partner with Product and Data Science to scale ambitious ideas.

You will demonstrate deep full‑stack expertise, strong LLM orchestration know‑how, and the leadership instinct to elevate the entire team.

Qualifications

• 5–8 years of full‑stack engineering experience, with at least 1–2 years in AI/LLM product development.
• Proven problem‑solving with HLD/LLD for complex problems.
• Strong understanding of data structures and algorithms.
• Experience with CI/CD pipelines and test‑driven development.
• Proven production LLM‑powered products — prompt engineering, agent orchestration, validation.
• Experience with Kubernetes, Docker, and cloud footprints (AWS).
• Ability to lead engineering teams and communicate with product, business, and compliance stakeholders.

Responsibilities

• Own end‑to‑end architecture of multi‑agent systems including LLM reasoning, React dashboards, Python and Java microservices.
• Define standards, patterns, and practices for the AI platform pod; lead design reviews.
• Drive scalability, security, observability, and reliability of AI systems; evaluate new AI frameworks.
• Architect multi‑agent orchestration with LangGraph, AutoGen, or CrewAI; design memory and tool use.
• Lead a team of 3–6 engineers; guide sprint planning, delivery commitments, and hiring.

Skills

Full‑stack engineering

AI/LLM product development

HLD/LLD design

Data structures & algorithms

CI/CD & TDD

LangChain / LangGraph / AutoGen

Agent orchestration

RAG / vector search

Kafka / messaging

Kubernetes / Docker / AWS

Leadership & delivery

Education

B.E./B.Tech./M.Tech in Computer Science

Tools

LangChain

LangGraph

AutoGen

Job description

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 Lead Engineer (Agentic AI) at Yubi, you will architect and deliver production-grade intelligent systems that redefine how debt capital flows between borrowers, lenders, and investors. You will lead a pod of engineers, own the technical roadmap for key AI agent capabilities, and work hand-in-hand with Product and Data Science to bring ambitious ideas to life at scale. This role demands deep full‑stack expertise across Java, a strong grasp of LLM orchestration, and the leadership instinct to elevate the entire team around you.

KEY RESPONSIBILITIES

Technical Leadership & Architecture

• Own the end‑to‑end architecture of multi‑agent systems — from LLM reasoning layers to React dashboards, Python, and Java microservices.
• Define technical standards, design patterns, and coding practices for the AI platform engineering pod.
• Lead design reviews, ensuring systems are scalable, secure, observable, and maintainable.
• Evaluate emerging AI frameworks and tools; make adoption decisions that balance innovation with production reliability.
• Drive migration of rule‑based financial workflows to LLM‑native agentic pipelines.

Agentic AI Engineering

• Architect multi‑agent orchestration using LangGraph, AutoGen, or CrewAI — supporting tool use, memory, planning, and reflection loops.
• Design stateful agent memory systems combining short‑term context windows with long‑term vector stores for financial workflows.
• Build reliable prompt engineering strategies with versioning, A/B testing, and rollback capabilities.
• Oversee RAG pipeline design — chunking strategies, embedding model selection, retrieval optimisation, and re‑ranking.

People & Delivery

• Lead, mentor, and grow a team of 3–6 engineers; conduct regular 1:1s, code reviews, and career development conversations.
• Drive sprint planning, estimation, and delivery commitments in close partnership with the Product Manager.
• Participate in senior technical hiring — define interview criteria and assess engineering bar.

Requirements

REQUIRED SKILLS & QUALIFICATIONS

Technical

• 5–8 years of full‑stack engineering experience, with at least 1‑2 years in AI/LLM product development.
• Very strong problem‑solving capability. Doing HLD and LLD for a given problem.
• Good understanding of data structures, algorithms.
• Good understanding of CI/CD pipelines and test‑driven development.
• Proven experience building production LLM‑powered products — prompt engineering, agent orchestration, output validation.
• Hands‑on with LangChain, LangGraph, AutoGen, or equivalent agent frameworks.
• Strong understanding of RAG, vector search, and embedding‑based retrieval.
• Experience with Kafka or similar message brokers; familiarity with event‑driven architecture patterns.
• Kubernetes, Docker, and cloud‑native AWS experience at production scale.

Leadership & Soft Skills

• Proven track record of leading engineering teams and delivering complex projects end‑to‑end.
• Excellent communication — able to translate AI system behaviour to product, business, and compliance stakeholders.
• Strong systems thinker with the ability to decompose complex financial workflows into reliable automated steps.
• B.E. / B.Tech / M.Tech in Computer Science or equivalent; advanced degree a plus.