Application Engineer (Contract)

Tangspac Consulting Group; Singapore; Sur place; SGD 120 000 - 200 000; Plein temps

Résumé du poste

Tangspac Consulting Group is seeking an experienced GenAI software engineer to join our engineering team in Singapore. You will build and deploy production-grade GenAI applications, leveraging LangGraph, LangChain and other orchestration tools to create reliable, scalable solutions.

You will integrate LLMs with enterprise APIs and data sources, design robust back-end services in Python or Java, and focus on observability, logging, tracing, and resilience.

Qualifications

• 6 or more years of software engineering experience.
• Proven experience building production-grade GenAI applications.
• Hands-on with LangGraph/LangChain.
• Understanding of RAG, agentic workflows and prompt orchestration.
• Experience integrating LLMs via APIs and enterprise data sources.
• Experience with open weight models.
• Strong backend skills in Python/Java.
• Knowledge of API design and distributed systems.
• Observability, logging, tracing and troubleshooting.
• Experience with containerised deployment (Kubernetes/OpenShift).
• Write clean, maintainable and testable code.
• Strong analytical, debugging and troubleshooting skills.
• High ownership and curiosity.

Responsabilités

• 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.

Connaissances

GenAI application development

Backend engineering

Python

Java

API design

Distributed systems

Production resilience patterns

Observability & debugging

High ownership

Formation

Bachelor's degree or higher

Outils

LangGraph

LangChain

Kubernetes

OpenShift

APIs

Description du poste

• 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