Associate, AI Engineering

RSM Chio Lim LLP; Singapore; Presencial; SGD 80.000 - 120.000; Tempo integral

Resumo da vaga

RSM International is seeking an Associate, AI Engineering to design and test AI solutions, focusing on LLM workflows, RAG pipelines and data pipelines. You will work closely with business users to translate requirements into usable AI features and ensure compliance with governance standards.

The role emphasizes hands‑on development, evaluation, and staying current with ML advances, while integrating AI components into the firm’s central platform.

Qualificações

• Degree in Computer Science, Data Science, Statistics, Mathematics or a related field.
• Around 1-3 years of experience building machine learning or AI solutions; fresh graduates with relevant internships, academic or personal projects welcome to apply.
• Solid foundation in machine learning and model evaluation.
• Working knowledge of Python and SQL, and familiarity with machine learning libraries (e.g. PyTorch, scikit‑learn).
• Hands‑on experience building LLM‑based applications using LLM and agent frameworks (e.g. LangChain/LangGraph), RAG or vector search.
• Exposure to cloud AI services (e.g. Azure OpenAI, Azure AI Search), APIs, Git and CI/CD pipelines is an advantage.
• Good communication skills, attention to detail, and an appreciation of AI risks such as inaccurate outputs and data privacy.

Responsabilidades

• AI solution development: Develop and test LLM‑based agentic workflows, retrieval‑augmented generation (RAG) pipelines and ML models for audit and firm processes.
• Evaluation and quality: Build evaluation datasets and tests to measure accuracy and reliability of AI outputs, and support human‑in‑the‑loop review.
• Data pipelines: Build and maintain data pipelines that AI solutions depend on, keeping outputs traceable to their sources.
• Data security and governance: Handle client data in line with data security, confidentiality and responsible AI requirements.
• Collaboration and support: Work with business users to gather requirements and feedback, and integrate AI features into applications.
• Learning and research: Keep up with ML, LLMs and agent frameworks, and share promising ideas with the team.

Conhecimentos

Python

SQL

PyTorch

scikit-learn

LangChain

LangGraph

Vector search

APIs

Git

CI/CD

Azure OpenAI

Azure AI Search

Data privacy

Communication

Formação

Computer Science / Data Science / Statistics / Mathematics

Ferramentas

LangChain

LangGraph

Azure OpenAI

Azure AI Search

Descrição da vaga

As Associate, AI Engineering, you will build, test and support AI solutions as part of a small team. This role suits AI engineers who want hands‑on experience delivering LLM and machine learning solutions to real users.

• AI solution development: Develop and test LLM‑based agentic workflows, retrieval‑augmented generation (RAG) pipelines and machine learning models for audit and firm processes. Deliver solutions through well‑defined APIs that follow the platform's CI/CD standards, for integration into the firm's central platform.
• Evaluation and quality: Build evaluation datasets and tests to measure the accuracy and reliability of AI outputs, and support human‑in‑the‑loop review before outputs are relied upon. Follow the team's standards for solution design, testing, documentation and code review, and use AI‑assisted development tools responsibly.
• Data pipelines: Build and maintain the data pipelines that AI solutions depend on, keeping outputs traceable to their sources.
• Data security and governance: Handle client data in line with the firm's data security, client‑data confidentiality and responsible AI requirements, and raise risks or issues promptly.
• Collaboration and support: Work with business users to understand requirements and gather feedback, and to integrate AI features into applications. Document and monitor solutions after go‑live, and help investigate and resolve issues.
• Learning and research: Keep up with developments in machine learning, LLMs and agentic frameworks, and share promising ideas and tools with the team.
  

Requirements

• Degree in Computer Science, Data Science, Statistics, Mathematics or a related field.
• Around 1-3 years of experience building machine learning or AI solutions; fresh graduates with relevant internships, academic or personal projects are also welcome to apply.
• Solid foundation in machine learning and model evaluation.
• Working knowledge of Python and SQL, and familiarity with machine learning libraries (e.g. PyTorch, scikit‑learn).
• Hands‑on experience, through work or projects, building LLM‑based applications using LLM and agent frameworks (e.g. LangChain/LangGraph), RAG or vector search.
• Exposure to cloud AI services (e.g. Azure OpenAI, Azure AI Search), APIs, Git and CI/CD pipelines is an advantage.
• Good communication skills, attention to detail, and an appreciation of AI risks such as inaccurate outputs and data privacy.
• Interest in professional services, audit or another regulated environment is an advantage.