Why This Job is Featured on The SaaS Jobs
This Principal Engineer remit stands out in the SaaS landscape because it treats agentic AI as a shared platform capability rather than a feature embedded in a single product. Yubi’s multi-product suite and transaction-heavy domain make the role inherently cross-cutting, with architectural decisions likely to influence how multiple SaaS surfaces integrate LLMs, data pipelines, and developer tooling in a regulated fintech context.
For a long-term SaaS engineering career, the value here is in building repeatable systems: evaluation harnesses, guardrails, observability, and internal frameworks that let product teams ship AI reliably. That combination of platform engineering and applied AI maps directly to where many SaaS companies are heading, namely operationalizing LLMs with measurable quality, cost control, and compliance, not just prototyping.
The role best suits a senior technologist who prefers setting technical direction while still writing critical code, and who is comfortable being accountable for standards that other teams adopt. It also fits someone motivated by ambiguity in emerging AI patterns, and by influencing stakeholders from engineering leadership through to product and business partners.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Us
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 Principal Engineer (Agentic AI), you will be the technical visionary behind Yubi's AI platform — setting the long-term architecture direction, establishing engineering excellence standards, and driving the adoption of agentic AI across our entire product suite. This is a hands-on leadership role: you will write critical code, mentor senior engineers, define platform-level abstractions, and partner directly with the CTO and VP Engineering to shape Yubi's AI strategy. Your work will determine how intelligent agents transform the future of debt markets at scale.
KEY RESPONSIBILITIES
Platform Architecture & Strategy
Define the multi-year technical vision and architecture for Yubi's Agentic AI platform — spanning agent runtimes, LLM integration layers, data pipelines, and developer tooling.
Establish platform-level abstractions and internal frameworks that accelerate agent development across multiple product teams.
Lead architectural reviews across engineering, ensuring AI systems are scalable, explainable, compliant, and cost-efficient at millions-of-transactions scale.
Identify build vs. buy decisions for AI infrastructure; evaluate and adopt emerging frameworks, foundation models, and tooling ahead of the curve.
Define and own AI engineering standards: prompt versioning, evaluation frameworks, guardrail policies, and responsible AI practices.
Hands-On Agentic AI Engineering
Design and build the most complex, high-stakes agent systems — multi-agent orchestration, long-horizon planning, reflection loops, and tool-augmented reasoning.
Architect LLM fine-tuning and alignment workflows for domain-specific financial tasks where general models fall short.
Own the agent evaluation and reliability framework — golden datasets, LLM-as-judge pipelines, regression suites, and production monitoring.
Drive RAG platform evolution — advanced retrieval, hybrid search, knowledge graph integration, and context compression.
Build developer experience tooling — internal SDKs, agent testing harnesses, and observability dashboards used by all AI teams.
Organizational Impact
Mentor and coach Lead, and Senior engineers across AI teams; act as a technical multiplier across the organization.
Define the engineering hiring bar for AI roles; lead final-round technical interviews and calibration sessions.
Represent Yubi's engineering at external conferences, tech talks, and open-source communities to attract top talent.
Collaborate with CTO, VP Engineering, and business leadership to translate AI opportunities into executable technical roadmaps.
Requirements
REQUIRED SKILLS & QUALIFICATIONS
Technical
8–12 years of full-stack engineering experience; 2+ years in production LLM / AI agent system development.
Very strong problem solving capability and doing HLD and LLD for a given problem
Good understanding of data structures , algorithms
Good Understanding of CI/CD pipelines and test driven development
Deep expertise in Spring Boot, Spring Cloud, and Hibernate for enterprise-grade, high-throughput microservices.
Deep Understanding of Observability frameworks , Async processing frameworks
Strong React/TypeScript and Node.js skills; experience with large-scale frontend architectures.
Proven track record of architecting and shipping production LLM-powered systems handling significant load.
Expert-level knowledge of agent orchestration (LangGraph, AutoGen, custom runtimes), RAG pipelines, and LLM evaluation.
Deep experience with Kafka, event-driven architectures, and large-scale data pipelines.
Kubernetes, AWS (EKS, MSK, RDS, SageMaker), and infrastructure-as-code expertise.
Strong understanding of responsible AI — explainability, bias mitigation, hallucination control, and regulatory compliance.
Leadership & Soft Skills
Demonstrated technical leadership across multiple teams and products simultaneously.
Exceptional written and verbal communication — able to influence executives, engineers, and external partners.
Track record of building and growing high-performing engineering teams.
Strategic thinker who can operate at both the architecture white-board and the code editor.
B.E. / B.Tech in Computer Science or related field; M.Tech / PhD advantageous.
