Application Engineer (Contract)

Tangspac Consulting • Python • Java • 3 days ago

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Salary

$70k – $80k per year (gross)

Location

In office (Singapore)

Experience

5+ years exp

Employment

Contractor

First seen by Alion on Oct 21, 2026.

Overview

Company

Impact

Profile match

Tangspac Consulting

Your Trusted Partner in Technology & HR Solutions Proven track record in delivering reliable, scalable solutions. Empowering businesses through innovation, integrity, and consistent performance.

tangspac.com • Kuala Lumpur • UTC+08:00 • IT Consulting & Digital Transformation • Recruiting & Staffing

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

Skills

Development of Prototypes, Application Engineering, Experimentation, LangGraph, API Specification, Build Prototypes, Container Orchestration, LangChain, Tooling, Business Resilience, Product Demonstration, Workflow Engine, Engineering Skills, Java, Orchestration, Back-End Databases

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