AI Engineer / Artificial IntelligenceContract- Banking

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

AI Engineer (Banking/Fintech Exposure Preferred)

Roles & Responsibilities:

• Develop intelligent solutions using Agentic frameworks, Large Language Models (LLMs), and Model Context Protocol (MCP) to deliver fast and scalable services across the organisation.
• Collaborate closely with software and data science teams to understand requirements and design appropriate solutions.
• Deploy and productionise machine learning (ML) and generative AI (GenAI) models on company infrastructure.
• Maintain and manage existing AI models, including monitoring for data drifts and hallucinations as part of MLOps responsibilities.
• Contribute to and conduct research on AI frameworks and AI-safety evaluations of domain-trained models.
• Stay up to date with the latest developments in AI and introduce AI/GenAI solutions to enhance existing processes, serving as an AI subject matter expert.

Requirements:

• Bachelor’s degree in computer science, computer engineering, data science, or a similar field, or equivalent experience/certifications.
• Minimum of 2 years’ experience in deploying and productionising large language models (LLMs).
• Experience with fine-tuning or domain adaptation of LLMs is a plus.
• Proficiency in programming languages such as Python.
• Experience working with retrieval augmented generation (RAG) processes.
• Familiarity with frameworks such as scikit-learn, PyTorch, LangChain, or other machine learning/agent frameworks.
• Experience with platforms such as Hugging Face, MLFlow, or similar.
• Proficiency with Docker or other containerization platforms.
• Experience with shell scripting and working in a Linux environment.

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