Posted 24 July, 2026
Full Stack Software Engineer - AI / Cross-Platform (Fully Remote)
Binance
Australia, Melbourne
Full Time
Reference: 113_350651_ab26c3f8-3728-4750-a07b-88adb962e3bc_419150043
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We are looking for a Full Stack Software Engineer with strong cross-platform engineering capabilities to join our team and build next-generation AI-powered products.
The ideal candidate should have strong expertise in at least one core technology stack, while also having hands-on experience across multiple layers of the product stack, including Backend, Web, Android, and/or iOS.
Beyond traditional full-stack development, we are particularly interested in engineers who have experience with AI Agents, LLM applications, or AI-assisted product development, and who can independently take a product from technical design through implementation and production.
This is a highly cross-functional engineering role, where you will work across different technology stacks and business scenarios depending on product needs. The strongest candidates will demonstrate:
Deep expertise in one stack + hands-on experience across other stacks + strong AI/Agent capability + the ability to learn and ship independently.
For example:
- Strong Java Backend + Web + AI Agent experience Strong fit
- Strong Web + Android/iOS + AI Agent experience Strong fit
- Strong Android/iOS + Backend/Web + AI Agent experience Strong fit
- Strong in only one stack with no meaningful cross-platform exposure Lower priority
- Broad technology exposure but limited production ownership Lower priority
Responsibilities
- Design and develop end-to-end products across Backend, Web, Android and/or iOS.
- Build scalable backend services and APIs using technologies such as Java / Spring Boot, with experience in distributed systems, microservices and high-concurrency applications.
- Develop modern web applications using technologies such as React, TypeScript, Next.js or Vue.js.
- Contribute to mobile application development on Android (Kotlin) and/or iOS (Swift).
- Design and integrate AI-powered features, AI Agents and LLM-based workflows into production applications.
- Work with LLM APIs, agent orchestration, RAG, tool calling, workflow automation and external API integrations where applicable.
- Own features end-to-end, from requirement understanding and system design to development, testing, deployment and production optimisation.
- Collaborate closely with product, engineering and business teams to translate business problems into scalable technical solutions.
- Rapidly learn and work across unfamiliar technology stacks when required.
- Contribute to engineering standards, code reviews, system reliability and overall technical quality.
Requirements
Core Engineering
- 4+ years of software engineering experience, with strong hands-on development experience.
- Strong proficiency in at least one of the following areas:
- Backend - Java / Spring Boot / distributed systems
- Web - React / TypeScript / Next.js / Vue.js
- Android - Kotlin
- iOS - Swift
- Practical experience working across multiple technology layers is highly preferred.
- Experience designing and developing production-grade applications, APIs or distributed systems.
- Strong understanding of software engineering fundamentals, including system design, API design, databases, testing and debugging.
- Ability to understand and contribute beyond one's primary technology stack.
Cross-Platform Experience
We are particularly interested in candidates with experience spanning 2 or more of the following:
- Java / Spring Boot Backend
- Web / React / TypeScript
- Android / Kotlin
- iOS / Swift
Candidates do not need to be equally strong in all four areas. We value depth in one area + meaningful hands-on experience in other areas.
AI / Agent Engineering
- Hands-on experience with LLM applications, AI Agents, Generative AI or AI-assisted engineering is strongly preferred.
- Experience with one or more of the following is a plus:
- AI Agent / Multi-Agent systems
- LLM API integration
- RAG
- Tool calling / function calling
- Agent orchestration
- AI workflow automation
- LLM evaluation
- AI coding / AI-assisted software development
Engineering Mindset
- Strong problem-solving and analytical skills.
- Able to understand ambiguous requirements and translate them into practical technical solutions.
- Strong learning agility and willingness to pick up new technologies quickly.
- Good communication and collaboration skills.
- Comfortable working in a fast-paced environment with changing business and technical requirements.
Why Binance
Shape the future with the world's leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
