Principal Engineer – Agentic AI Platform

Zycus; Bengaluru; On-site; INR 4,500,000 - 8,000,000; Full time

Job summary

Zycus is building a next-generation Agentic AI Platform to autonomously execute enterprise procurement workflows. This hands-on engineering leadership role requires architecture, building and scaling intelligent systems end-to-end across backend, frontend and AI tech.

You will architect the core platform, design multi-agent workflows, and develop LLM-powered integrations with ERP, sourcing and contracts, while mentoring engineers and elevating engineering standards.

Qualifications

• 10+ years of experience building scalable software systems.
• Proficient in Java and Spring Boot.
• Experience with microservices and distributed architectures.
• Proven track record building enterprise SaaS platforms.
• Hands-on frontend experience with React/Angular/Node.js and full-stack delivery.

Responsibilities

• Architect and build the core Agentic AI platform for Zycus.
• Design and implement multi-agent systems (planning, reasoning, execution).
• Develop LLM-powered systems integrated with ERP, sourcing, contracts.
• Develop and scale backend services using Java, Spring Boot, and microservices.
• Contribute across stack: APIs, frontend interfaces, observability, security.

Skills

Java

Spring Boot

Microservices

Enterprise SaaS

React

Angular

Node.js

Education

CS/Engineering degree

Top engineering IITs/NITs/IIITs or equivalents

Tools

LangGraph

AutoGen

CrewAI

Job description

Zycus is building a next-generation Agentic AI Platform to autonomously execute enterprise procurement workflows.

We are looking for a deeply hands-on, polyglot engineering leader with a strong foundation in Java/microservices who has evolved into building AI/LLM-driven systems in production.

This role requires someone who can architect, build, and scale intelligent systems end-to-end, while being comfortable working across backend, frontend, and emerging AI technologies.

• Architect and build the core Agentic AI platform for Zycus


• Design and implement multi-agent systems (planning, reasoning, execution loops)


• Develop LLM-powered systems integrated with enterprise workflows (ERP, sourcing, contracts)


• Develop and scale backend services using Java, Spring Boot, and microservices architecture


• Contribute across the stack including:


• API design and integrations


• Frontend interfaces (React / Angular / Node.js) for AI-driven workflows


• Fallback mechanisms and auditability


• Optimize systems for performance, scalability, latency, and cost


• Build reusable platform components and developer frameworks


• Rapidly evaluate and adopt new AI and engineering technologies


• Mentor engineers and drive high engineering standards and best practices

Skills, Experience & Education (Required)

1. Core Software Engineering Expertise

• 10+ years of experience building scalable software systems


• Java, Spring Boot


• Microservices and distributed systems architecture


• Proven experience building enterprise SaaS platforms

2. Polyglot & Full-Stack Capability

• Hands-on experience with one or more frontend technologies:


• React / Angular / Node.js


• Ability to work across the stack (backend, APIs, frontend)


• Demonstrated ability to quickly learn and adapt to new technologies

3. AI / LLM Systems Experience (Production-Grade)

• Hands-on experience building:


• LLM-powered applications in production


• Agentic workflows / multi-step AI systems


• Strong understanding of:


• Prompting, evaluation, and system design


• Model limitations (hallucination, latency, cost)

4. Agentic AI & System Design

• Experience with or strong understanding of:


• Multi-agent frameworks (LangGraph, AutoGen, CrewAI, or similar)


• Tool-integrated AI systems (APIs, workflows, enterprise systems)


• Memory, orchestration, and feedback mechanisms


• Ability to design end-to-end intelligent systems, not just integrations

5. Hands-On Builder Mindset

• Actively writes production-quality code


• Strong problem-solving and system design capabilities


• Experience building systems with:


• High scalability, reliability, and performance


• Observability and debugging frameworks


• Understanding of:


• Security, data privacy, and governance in AI systems

7. Education

• Bachelor’s or Master’s degree in Computer Science / Engineering or related field


• Candidates from top engineering institutes (IITs, NITs, IIITs, or global equivalents) preferred

What This Role Is NOT

• Not a Data Scientist role


• Not a pure research role
  
• Not a people management-only role

This is a hands-on engineering leadership role for builders who can work across technologies and define the future of enterprise AI systems.