About this role
Zendesk seeks a Forward Deployed Engineer for its Technical Presales team in Singapore. Embedded with strategic customers, the engineer will design and deliver production-grade AI agent and LLM-powered solutions, connect them to customer systems, and help turn deployment experience into product improvements.
Responsibilities
- Lead delivery from discovery and scoping through system design, proof of concept, production rollout, and operational handoff.
- Build custom connectors, APIs, data pipelines, and RAG integrations that supply Zendesk AI workflows with useful signals.
- Resolve escalated problems involving data, infrastructure, and model behavior. Work with Sales Engineering, Product, and Engineering to map customer systems, implement integration patterns, and prioritize feedback that reduces deployment friction.
Required qualifications
- At least 5 years of software engineering experience delivering production systems, with strong engineering fundamentals and the ability to work through ambiguous problems.
- Proficiency in Python and JavaScript/TypeScript; hands-on experience deploying or integrating production LLM solutions, including RAG, vector databases, and model evaluation.
- Practical experience with AWS, GCP, or Azure and containerized deployments using Docker and Kubernetes. The role also calls for full-stack fluency, secure data ingestion and pipeline design, and clear communication with executives and customer engineers.
- Ability to work onsite with customers and travel as required, typically 25–50% and up to 50%.
Preferred qualifications
- Experience with a backend language such as Java, Ruby, or Go; prior forward-deployed engineering, Professional Services, Solutions Engineering, or Technical Account Management work on enterprise AI or SaaS deployments.
- Familiarity with LangChain, LlamaIndex, Haystack, Zendesk products or APIs, or customer-support platform integrations. Experience with AI observability and operations, data governance, PII handling, and enterprise security or compliance is also preferred.
Zendesk describes its working arrangement as hybrid, combining office collaboration with remote work for part of the week.
Skills for this role
AI agentsLarge language modelsPrompt engineeringRetrieval-augmented generationVector databasesModel evaluationAI guardrailsPythonJavaScriptTypeScriptReactNode.jsJavaRubyGoREST APIsGraphQLAWSGCPAzureDockerKubernetesETLData pipelinesData ingestionSystem designAPI integrationLangChainLlamaIndexHaystack allusion