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Zendesk

Subscription CRM software for customer service

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience building and delivering production systems, with strong software engineering fundamentals and attention to quality.
  • Experience across frontend development using React and TypeScript, backend development, REST or GraphQL APIs, and cloud infrastructure such as AWS, GCP, or Azure.
  • Practical experience with large language models, prompt engineering, retrieval-augmented generation, vector stores, and model evaluation and guardrails for safety and reliability.
  • Ability to design secure data ingestion and ETL/data pipelines and work with diverse data stores and messaging systems.
  • Proficiency in Python and JavaScript or TypeScript.
  • Hands-on experience deploying or integrating large-language-model-based solutions in production, including retrieval-augmented generation, vector databases, or model evaluation.
  • Practical experience with cloud platforms such as AWS, GCP, or Azure, and containerized deployments using Docker and Kubernetes.
  • Comfort working onsite with customers and traveling up to 50% as required.
  • Ability to navigate ambiguity, map unknown systems, deliver results without a predefined playbook, present trade-offs to executives, pair-program with customer engineers, and produce written runbooks and documentation.

Responsibilities

  • Lead end-to-end technical delivery of AI agent and large-language-model-powered solutions, including discovery, scoping, system design, proof of concept, production rollout, and operational handoff.
  • Build production-grade integrations and custom connectors, including APIs, data pipelines, and retrieval-augmented generation systems, to surface high-quality signals into Zendesk AI workflows.
  • Troubleshoot and resolve escalated technical blockers across data, infrastructure, and model behavior, serving as the field’s final line of defense for complex issues.
  • Collaborate with Sales Engineering and Product teams to map undocumented systems, define integration patterns, and implement solutions.
  • Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction.
  • Work embedded with strategic customers to design, build, and deliver production-grade AI solutions, translate customer needs into integrations, architect large-language-model-powered workflows, and collaborate to turn real-world friction into product improvements.
  • Build trusted technical partnerships and deliver production-ready solutions and scalable AI deployments within complex enterprise accounts.

Desired Qualifications

  • Experience with at least one backend language such as Java, Ruby, or Go.
  • Prior Forward Deployed Engineering, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments.
  • Experience with large language model tooling and frameworks such as LangChain, LlamaIndex, or Haystack.
  • Familiarity with Zendesk products and APIs, or experience integrating customer support or contact-center platforms.
  • Background in observability and operationalization of machine learning or AI, including monitoring, service-level objectives, cost controls, or retraining pipelines.
  • Experience with data governance, personally identifiable information handling, and enterprise security or compliance constraints.

About the Company

Zendesk

Subscription CRM software for customer service

Zendesk provides cloud-based customer service and support software that helps businesses manage customer interactions. It offers a suite of tools (ticketing, live chat, analytics) as part of a subscription-based CRM platform designed to streamline support workflows across industries. The product works as a scalable cloud solution: organizations choose pricing tiers, implement ticketing and chat in their support channels, track performance with analytics, and use training and certification resources to maximize use. What sets Zendesk apart is its broad, adaptable platform tailored for companies from startups to enterprises, extensive integrations, and a clear focus on service-first CRM, with a recurring revenue model built on subscriptions. The company’s goal is to help organizations improve customer service operations, boost efficiency, and enhance customer satisfaction and loyalty by making support processes easier to manage.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$185.5M
Headquarters
San Francisco, CA
Founded
2007

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