Generative AI Engineer

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RiDiK, a subsidiary of CLPS, is seeking a Senior GenAI Application Engineer who operates at the intersection of software engineering, GenAI development, and enterprise delivery. This role focuses on building production-grade GenAI apps that are reliable and observable.

You will work with LangGraph, LangChain or similar tools, open weight models, hosted LLMs, and develop agentic workflows, RAG, and tool calling while integrating with enterprise systems for production readiness.

Qualifications

• Strong hands on experience building production grade GenAI applications.
• Practical experience with LangGraph, LangChain, agentic workflows, RAG and tool calling.
• Understanding of open weight models and how to integrate them into real applications.
• Ability to challenge weak designs and propose better ones.
• Strong engineering discipline around reliability, testing, observability and maintainability.
• Ability to work across application, data, platform, security and infrastructure teams.
• Enthusiastic, energetic and willing to get into the details.
• Pragmatic approach to delivery, not over engineering, not hype driven.

Responsibilities

• Build and improve GenAI applications at production scale.
• Work with LangGraph, LangChain or similar orchestration tools.
• Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
• Integrate GenAI applications with enterprise systems, APIs and data sources.
• Engineer production quality solutions with logging, tracing, evaluation and troubleshooting.
• Collaborate across application, data, platform, security and infrastructure teams.

Skills

GenAI engineering

LangGraph

LangChain

Agentic workflows

RAG

Tool calling

Open weight models

Tools

LangGraph

LangChain

Job description

We are looking for a Senior GenAI Application Engineer who operates effectively at the intersection of software engineering, GenAI application development, enterprise integration and production delivery.

This is not a pure research role. It is not a prompt engineering only role. The successful candidate will help design, build and improve production grade GenAI applications that are reliable, observable, maintainable and useful to real enterprise users.

The successful candidate will:

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.

Bring a strong can do attitude, enthusiasm, curiosity and practical delivery mindset.

Finance or banking experience is not required. What matters more is hands on experience building real GenAI applications, strong engineering judgement and the ability to deliver in a complex enterprise environment.

What Matters Most

Strong hands on experience building production grade GenAI applications.

Practical experience with LangGraph, LangChain, agentic workflows, RAG and tool calling.

Understanding of open weight models and how to integrate them into real applications.

Ability to challenge weak designs and propose better ones.

Strong engineering discipline around reliability, testing, observability and maintainability.

Ability to work across application, data, platform, security and infrastructure teams.

Enthusiastic, energetic and willing to get into the details.

Pragmatic approach to delivery, not over engineering, not hype driven.