AI-Native Java Developer

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.

We are hiring AI-Native Java Engineers who combine strong backend fundamentals with AI-augmented development practices. Your primary stack will be Java + Spring Boot + Microservices — but your real multiplier will be AI.

This role is for developers who already work with AI daily. You use AI copilots as your primary coding companion, think in prompts before implementations, understand how LLMs reason, engineer context deliberately, and measure productivity through AI leverage.

Key Responsibilities

AI-Augmented Engineering

• Build backend systems using AI copilots like GitHub Copilot, Cursor, and ChatGPT

• Use AI for code generation, refactoring, test case generation, performance tuning, and documentation

• Apply prompt engineering and context engineering to produce production-grade outputs

• Continuously experiment with AI tooling to improve development velocity

Core Backend Engineering

• Design and develop scalable Java backend services

• Architect Microservices using Spring Boot

• Implement REST APIs, transaction management, and concurrency handling

• Work with relational databases and JPA/Hibernate

• Contribute to scalable, cloud-ready systems

AI-Aware System Design

• Design systems that can integrate with AI agents

• Think in automation layers

• Build APIs that are AI-consumable

• Collaborate in building AI-powered enterprise workflows

Required Qualifications

• 2-6 years of professional experience in Java backend development

• Strong proficiency in Java, Spring Boot, and Microservices architecture

• Hands-on experience with REST API design and implementation

• Working knowledge of relational databases, JPA/Hibernate, and SQL

• Active daily usage of AI coding assistants (GitHub Copilot, Cursor, ChatGPT, or similar)

• Understanding of prompt engineering and context engineering principles

• Experience with transaction management and concurrency handling

• Familiarity with cloud platforms and containerization

Preferred Skills

• Experience building AI-integrated or AI-consumable APIs

• Knowledge of LLM capabilities and limitations

• Background in enterprise software development

• Experience with procurement or supply chain systems

• Contributions to open-source projects or AI-assisted development tools

• Strong problem-solving skills with an automation-first mindset

• Ability to measure and articulate productivity gains through AI tooling

What Makes You Stand Out

• You believe AI is the new IDE

• You think in prompts before writing code

• You can demonstrate measurable productivity improvements through AI leverage

• You're excited about building the future of enterprise procurement with AI at its core