AI-Native Java Engineer

Zycus Infotech · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 12:33 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: J65ADCV6F

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

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 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 2–5 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.

Collected experience requirement

2-6 Years