Principal Engineer

Zycus; Bengaluru; In loco; INR 4.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

Zycus is seeking a hands-on engineering leader to architect and scale the next-generation Agentic AI Platform. You will own end-to-end tech stack, spanning backend Java/Microservices, APIs, and frontend interfaces, while driving high engineering standards across the team.

You’ll design multi-agent workflows, integrate LLM-powered solutions with ERP and sourcing processes, and mentor engineers to ensure performance, reliability, and cost efficiency as the platform evolves.

Competenze

• 10+ years of experience building scalable software systems.
• Java, Spring Boot proficiency.
• Microservices and distributed architectures.
• Experience building enterprise SaaS platforms.

Mansioni

• 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 ERP, sourcing, contracts.

Conoscenze

Java

Spring Boot

Microservices

Enterprise SaaS

React/Angular/Node.js

AI/LLM systems

Agentic workflows

System design

Security & governance

Leadership & mentorship

Formazione

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

Descrizione del lavoro

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.