AI-Native Java Engineer
Key Skills for This Role
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About Zycus
Zycus is transforming enterprise procurement through AI-native architecture. At the core of our platform is Merlin AI, an agentic AI engine powering autonomous workflows across Source-to-Pay. We are building enterprise software where AI is not a feature — it is the foundation.
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.
Who We Are Looking For
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
Measure productivity through AI leverage
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
- 2–5 years of strong hands-on Java backend experience
- Deep knowledge of Core Java, Spring Boot, Microservices, REST APIs, and SQL databases
- Active daily usage of AI coding assistants (GitHub Copilot, Cursor, ChatGPT, etc.)
- Working knowledge of LLM fundamentals (tokens, embeddings, context windows – conceptual understanding)
- Experience with prompt engineering techniques and context management for large codebases
- Strong problem-solving mindset and ability to deliver production-grade code
Preferred Skills
- Built internal AI tools or automation scripts
- Experience integrating AI APIs into applications
- Exposure to event-driven architecture (Kafka, messaging systems)
- Familiarity with Docker/Kubernetes
- Experience with JPA/Hibernate and database optimization
Why Join Us
Work on cutting-edge applications powered by AI-assisted development workflows
Collaborate with a forward-thinking engineering team that values innovation and continuous learning
Access to premium AI development tools to boost productivity and code quality
Competitive compensation, flexible work arrangements, and opportunities for career advancement
Be part of transforming enterprise procurement through AI-native architecture
This is a role for engineers who believe AI is the new IDE.
About Zycus
Private AI-powered procurement software company serving enterprises with autonomous source-to-pay and intake-to-outcomes workflows.
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