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Forward Deployed Software Engineer (Applied AI - AI / ML) - SERVICENOW PTE. LTD.

Forward Deployed Software Engineer (Applied AI - AI / ML) - SERVICENOW PTE. LTD.

SERVICENOW PTE. LTD.D01 Cecil, Marina, People’s Park, Raffles Place, SG
12 days ago
Job description

Roles & Responsibilities

Why This Role Matters

Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software.

As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries.

Job Description : Who You Are

You are a systems-minded, AI-native engineer who ships real software. You own the full stack—and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.

You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.

You will

  • Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
  • Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
  • Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
  • Shape developer experience by sharing feedback with platform and product teams

What You’ll Do

  • Deliver end-to-end builds in agile sprints—from architecture to deployment in production
  • Engineer with versatility : APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
  • Operate with agility : integrate with legacy systems, navigate ambiguity, ship safely at speed
  • Codify patterns : build scaffolds, SDKs, and documentation to scale success across customers
  • Influence platform : inform product strategy through field-tested insights and extensible code
  • Qualifications : What You Bring

  • Experience : 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
  • System architecture : Proven ability to design and implement AI-native software in production environments
  • Engineering depth : Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST / GraphQL)
  • LLM tooling : Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
  • Performance & observability : Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
  • Platform mindset : Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
  • Product sensibility : Prioritize for user value, MVP iteration, and long-term scale
  • DevOps fluency : Experience deploying in AWS, Azure, or GCP with CI / CD, containers, and infra-as-code
  • Field readiness : Able to travel up to 30% to embed onsite and deliver where it matters
  • Preferred Qualifications

  • Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
  • Track record of production deployments in secure, regulated enterprise environments
  • Contributions to dev experience tooling, frameworks, or reusable AI scaffolds
  • Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.

    Tell employers what skills you have

    Azure

    Pipelines

    Customerfacing

    Ships

    Software Engineering

    UI

    Tuning

    Distributed Systems

    SaaS

    Versatility

    Angular

    GCP

    ServiceNow

    Orchestration

    Debugging

    System Architecture

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    Software Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG

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