AI Java Developer
TLDR
Contribute to the development of innovative AI-powered engineering capabilities that enhance product design and delivery through automated frameworks and intelligent collaboration.
Be part of a next-generation engineering team building AI-powered development capabilities that transform how products are designed, built, tested, and delivered.
This role goes beyond traditional backend development — you will help shape an AI-native engineering environment where intelligent agents collaborate with developers to accelerate software delivery, automate workflows, and improve engineering productivity at scale.
What You’ll Be Doing
- Drive the development of AI agent frameworks and automated engineering capabilities to support real product and project delivery.
- Design and implement multi-agent collaboration workflows, tools, and engineering standards for scalable AI-assisted development.
- Build and integrate AI-driven capabilities into existing microservices, backend systems, data platforms, and messaging infrastructure.
- Enable AI agents to participate in feature development, automated testing, code generation, and validation with production-ready outputs.
- Establish quality governance for AI-generated code, including code review practices, testing strategies, static analysis, performance optimization, and security checks.
- Collaborate closely with product, backend, infrastructure, and cross-functional teams to define technical solutions, align priorities, and ensure smooth deployment.
- Contribute to the evolution of AI-native software engineering practices and help shape the future of intelligent development workflows.
What We’re Looking For
- 3+ years of hands-on Java development experience in production environments (not coursework or side projects).
- Strong experience in microservices and distributed systems, including multi-service architectures and multi-data-source integrations.
- Solid understanding of backend technology stack including Redis, Kafka, and RDBMS (Oracle / MySQL / ClickHouse), with the ability to justify architecture and technology choices based on real business scenarios.
- Strong SQL and database optimization skills, preferably with Oracle 11g/12c experience, including query tuning and performance troubleshooting.
- Practical exposure to AI agent / LLM tooling such as Cursor, Claude Code, Cline, or similar AI coding agents.
- Experience working with AI-assisted development workflows, multi-agent collaboration, or implementing guardrails and governance for AI-generated code is highly preferred.
- Mandarin speaking capability is required to support collaboration with regional stakeholders and teams.
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Industry
- Internet Software & Services