Full Stack Software Engineer — AI / Cross-Platform (Fully Remote)

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.