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Open nowPosted 2 days ago

Application Engineer (Contract)

TANGSPAC CONSULTING PTE LTD

Pay
SGD 7,500 – SGD 8,500 a month
Where
Singapore
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Your applicationOpen nowApplication Engineer (Contract)TANGSPAC CONSULTING PTE LTD · Singapore
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 2 days ago

The posting

  • Build and improve GenAI applications using frameworks such as LangGraph, LangChain or similar orchestration tools.
  • Work with open weight models, hosted LLMs and model serving patterns.
  • Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
  • Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
  • Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.

Requirements

  • 6 or more years of software engineering experience, preferably with recent hands on experience in GenAI application development.
  • Proven experience building production grade GenAI applications, not only prototypes, experiments or demos.
  • Strong hands on experience with LangGraph, LangChain or similar orchestration frameworks.
  • Practical understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
  • Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
  • Experience with open weight models or strong interest backed by hands on experimentation.
  • Strong backend engineering skills using Python, Java or similar languages.
  • Good understanding of API design, distributed systems and production resilience patterns.
  • Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
  • Familiarity with containerised deployment environments such as Kubernetes or OpenShift.
  • Ability to write clean, maintainable and testable code.
  • Strong analytical, debugging and troubleshooting skills.
  • High ownership, high curiosity and genuine interest in building useful AI products

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