AI Engineer - GenAI & LLM Deployment

Fuku; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Fuku is seeking an AI Engineer with banking/fintech exposure to develop intelligent solutions using Agentic frameworks, LLMs, and MCP. You will deploy and productionise ML/GenAI models on company infrastructure, collaborating with software and data science teams to translate requirements into scalable services.

Responsibilities include monitoring data drift and hallucinations, researching AI frameworks, and advancing AI safety.

Qualifications

• Bachelor’s degree or equivalent experience in a related field.
• 2+ years of deploying and productionising LLMs.
• Proficiency in Python.
• Experience with retrieval augmented generation (RAG).
• Familiarity with ML frameworks and agent frameworks (LangChain).
• Experience with Docker and Linux environments.

Responsibilities

• Develop intelligent AI solutions using LLMs and MCP.
• Collaborate with software and data science teams to design solutions.
• Deploy and productionise ML and GenAI models on company infrastructure.
• Monitor models for data drift and hallucinations as part of MLOps.
• Conduct AI framework research and AI-safety evaluations.
• Introduce AI/GenAI solutions to enhance processes as an AI SME.

Skills

Python

LLMs deployment

MLOps

Linux

Docker

RAG

LangChain

Education

Bachelor’s degree in CS/CE/Data Science

Tools

Hugging Face

MLFlow

PyTorch

scikit-learn

Job description

Fuku is seeking an AI Engineer with banking/fintech exposure to develop intelligent solutions using Agentic frameworks, LLMs, and MCP. You will deploy and productionise ML/GenAI models on company infrastructure, collaborating with software and data science teams to translate requirements into scalable services.

Responsibilities include monitoring data drift and hallucinations, researching AI frameworks, and advancing AI safety.