Senior GEN AI Engineer

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

RiDiK (a Subsidiary of CLPS) seeks a Senior GenAI Application Engineer to operate at the intersection of software engineering, GenAI development, enterprise integration and production delivery.

You will build GenAI applications using LangGraph and LangChain, work with open weight models and hosted LLMs, and design agentic workflows with robust production-grade features. Collaboration across application, data, platform, security and infrastructure teams is essential.

Qualifications

• Expert in building GenAI applications for production.
• Experience with open weight models and hosted LLMs.
• Ability to design reliable, observable production systems.
• Ability to collaborate across application, data, platform, and security teams.

Responsibilities

• Build and improve GenAI applications using 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.
• 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.

Skills

GenAI Eng

LangGraph

LangChain

API Integration

Observability

Production Reliability

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.

• 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.
• 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.