ML/AI Engineer — Production LLM Apps & Workflows

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

NSEARCH GLOBAL PTE. LTD. is seeking an ML/AI Engineer to design, develop and deploy AI/ML applications and Agentic AI solutions for enterprise environments. You will build AI agents using LLMs, LangGraph, CrewAI or equivalent frameworks and integrate AI capabilities with databases, APIs and cloud platforms.

Applicants should have 3–5 years of hands-on experience, strong Python & APIs skills, and a track record deploying LLM-enabled applications into production. Cloud & CI/CD experience is a plus.

Qualifications

• Degree in Computer Science, Artificial Intelligence or a related discipline.
• 3–5 years of experience developing and deploying ML/AI applications.
• Strong proficiency in Python, APIs and Software Engineering.
• Hands‑on experience with LLMs, Agentic AI, AI Orchestration and AI/ML Deployment.
• Must have deployed at least one LLM-enabled application into production.
• Experience integrating AI solutions with cloud platforms and enterprise systems.
• Knowledge of AWS, PySpark, Docker, MLOps or CI/CD is advantageous.

Responsibilities

• Design, develop and deploy AI/ML applications and Agentic AI solutions.
• Build AI agents using LLMs, LangGraph, CrewAI or equivalent frameworks.
• Integrate AI solutions with enterprise databases, APIs and cloud platforms.
• Develop scalable Python applications, AI workflows and automated pipelines.
• Implement AI model evaluation, monitoring, CI/CD and security controls.

Skills

Python

APIs

Software Engineering

LLMs

Agentic AI

AI Orchestration

CI/CD

Production deployment

Education

Degree in Computer Science, Artificial Intelligence or related discipline

Tools

Python

APIs

Docker

AWS

PySpark

MLOps

CI/CD

LangGraph

CrewAI

Job description

NSEARCH GLOBAL PTE. LTD. is seeking an ML/AI Engineer to design, develop and deploy AI/ML applications and Agentic AI solutions for enterprise environments. You will build AI agents using LLMs, LangGraph, CrewAI or equivalent frameworks and integrate AI capabilities with databases, APIs and cloud platforms.

Applicants should have 3–5 years of hands-on experience, strong Python & APIs skills, and a track record deploying LLM-enabled applications into production. Cloud & CI/CD experience is a plus.