Senior AI Engineer - Singapore - xFusion Global

    xFusion Global
    xFusion Global Singapore

    21 hours ago

    $170,000 - $260,000 (SGD) per year * Technology / Internet
    Description

    SENIOR AI ENGINEER

    ABOUT XFUSION SINGAPORE

    Xfusion Singapore is an open-innovation AI lab building large-scale, production-grade AI platforms that bridge research, infrastructure, and enterprise deployment. We design extensible AI systems that power real-world automation and cultivate open ecosystems across industry and research.

    THE OPPORTUNITY

    We are seeking a high-caliber Senior AI Engineer to architect and build next-generation agentic AI systems and an open AI platform ecosystem.

    You will operate at the intersection of distributed systems, LLM reasoning frameworks, and ecosystem design — building durable AI infrastructure that developers, enterprises, and partners can extend and depend on.

    Beyond technical execution, you will serve as a technical advocate for the platform in the open-source community, helping drive adoption, external contributions, and ecosystem growth. This includes engaging with foundations such as the Apache Software Foundation, Cloud Native Computing Foundation, and SODA Foundation.

    This is a senior individual contributor role with architectural ownership and ecosystem impact. Exceptional candidates may be considered for a Lead position.

    KEY RESPONSIBILITIES

    • Production-grade multi-agent orchestration systems (planning, tool use, memory, evaluation)
    • Scalable LLM pipelines (RAG, fine-tuning, structured reasoning, workflow automation)
    • High-performance inference infrastructure with GPU optimization
    • Cloud-native AI runtime services on Kubernetes
    • Extensible platform layers (APIs, SDKs, plugins) enabling third-party innovation
    • Secure, enterprise-ready deployments (SSO, compliance, observability, reliability)

    WHO WE ARE LOOKING FOR

    • Master's or PhD in Computer Science, AI/ML, or a related field
    • 6–8 years of experience building complex production systems
    • Demonstrated ownership of distributed systems, AI platforms, or developer infrastructure
    • Deep hands-on experience with LLM systems (agents, orchestration, RAG, evaluation)
    • Strong backend expertise (Python, Go, Rust, or similar)
    • Kubernetes and cloud-native systems proficiency
    • Experience working with GPU-backed workloads and model serving frameworks
    • Ability to advocate, represent, and grow the platform within open-source communities, driving adoption and external contributions

    PREFERRED

    • Public open-source contributions in AI or cloud-native ecosystems
    • Designed systems that other developers depend on
    • Experience at hyperscalers, deep-tech startups, or research labs
    • Conference talks, technical publications, or visible engineering leadership

    WHY THIS ROLE

    • Build foundational agentic AI infrastructure, not surface applications
    • Shape an open AI ecosystem from early stage
    • Collaborate with global research and industry partners
    • Clear path to technical leadership while remaining deeply hands-on
    * This salary range is an estimation made by beBee
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