AI Engineer / Artificial IntelligenceContract- Banking
At a glance
Mid-level AI Engineering role at Fuku. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI services with agent frameworks, large language models and MCP for use across the organisation
- Shape solutions with software and data science teams after clarifying their requirements
- Put machine learning and generative AI models into production on company infrastructure, then maintain them
- Watch deployed models for data drift and hallucinations, and assess domain-trained models for safety
- Research AI frameworks and recommend ways to apply newer AI capabilities to existing processes
What you bring
- At least two years deploying and productionising large language models
- A degree in computer science, computer engineering, data science or a related field, or equivalent experience or certifications
- Programming ability in Python and hands-on work with retrieval augmented generation
- Experience with machine learning or agent frameworks, model platforms, containerization, shell scripting and Linux
Who this fits
This mid-level role suits someone with practical LLM deployment experience who can work across software and data science teams. The position is on-site in Singapore.
From the employer
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.
EA Reg. No. 25C2690 | EA License No. R1877766