Principal Engineer

Zycus Infotech; Bengaluru, Mumbai; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Zycus is seeking an engineering leader to architect and scale an Agentic AI platform. You will design multi-agent workflows, build LLMed systems integrated with ERP, sourcing, and contracts, and lead end-to-end backend services using Java and microservices. You will also drive frontend integrations and ensure reliability with observability and auditability.

The role spans frontend to backend, encouraging rapid adoption of new AI tech and mentoring engineers to uphold high standards.

Qualifications

• 10+ years of experience building scalable software systems.
• Strong hands-on expertise in Java and Spring Boot.
• Microservices and distributed systems architecture.
• Proven experience building enterprise SaaS platforms.

Responsibilities

• 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)
• Build agent orchestration frameworks (task decomposition, tool usage, memory, feedback loops)
• Develop and scale backend services using Java, Spring Boot, and microservices architecture
• Contribute across the stack including: API design and frontend interfaces (React / Angular / Node.js)
• Ensure enterprise-grade reliability: Observability, monitoring, debugging AI systems
• 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

Java

Spring Boot

Microservices

Distributed systems

Enterprise SaaS

Frontend (React/Angular/Node.js)

LLM systems

RAG

Prompting

LangGraph

AutoGen

CrewAI

Education

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

Candidates from IITs/NITs/IIITs or equivalents preferred

Tools

React

Angular

Node.js

Java

Spring Boot

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.

Roles & Responsibilities

• 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)
• Build agent orchestration frameworks (task decomposition, tool usage, memory, feedback loops)
• 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
• Ensure enterprise-grade reliability:
  
  • Observability, monitoring, debugging AI systems
  • 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
• Strong hands-on expertise in:
  
  • 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:
  
  • RAG architectures
  • 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 owning systems end-to-end (design build scale)

6. Enterprise Engineering Rigor

• 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

• Bachelors or Masters 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.