Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

We Are An Equal Opportunity Employer:
Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.

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

• 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.