Full Stack Software Engineer — AI,Fronted Oriented (Fully Remote)

We are looking for aFull 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 inat least one core technology stack, while also having hands-on experience across multiple layers of the product stack, includingBackend, Web, Android, and/or iOS.

Beyond traditional full-stack development, we are particularly interested in engineers who have experience withAI 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 acrossBackend, Web, Android and/or iOS.
• Build scalable backend services and APIs using technologies such asJava / Spring Boot, with experience in distributed systems, microservices and high-concurrency applications.
• Develop modern web applications using technologies such asReact, TypeScript, Next.js or Vue.js.
• Contribute to mobile application development onAndroid (Kotlin) and/oriOS (Swift).
• Design and integrateAI-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 inat 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 acrossmultiple 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 spanning2 or more of the following:

    • • Java / Spring Boot Backend
      • Web / React / TypeScript
      • Android / Kotlin
      • iOS / Swift

      Candidates donot need to be equally strong in all four areas. We valuedepth in one area + meaningful hands-on experience in other areas.

      AI / Agent Engineering

      • • Hands-on experience withLLM 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.