AI Engineering Lead: LLMs, Pipelines & Responsible AI

RSM International; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

RSM International seeks a Manager, AI Engineering to lead a small team in delivering robust AI solutions with hands-on involvement. You will set standards for design, testing, and documentation, promote responsible AI, and translate business needs into LLM-based workflows and APIs for integration into the central platform.

You will collaborate with IT governance, build data pipelines, manage stakeholders, and stay ahead of AI developments to drive cross-team projects effectively.

Qualifications

• Degree in CS, data science, statistics, mathematics or related field.
• 5+ years building and deploying ML solutions in production.
• 2+ years developing and deploying LLM-based agentic workflows.
• Experience leading engineers or serving as a tech lead.
• Strong Python, SQL, ML libraries and LLM/agent frameworks.
• Experience with LLM evaluation, vector search and cloud AI services.

Responsibilities

• Lead a small team of AI engineers with hands-on involvement.
• Define standards for design, testing, and documentation; ensure responsible AI.
• Translate business needs into AI solutions and deliver via defined APIs.
• Oversee data pipelines and governance with IT to ensure security.
• Collaborate with stakeholders and other teams for cross-project delivery.
• Stay current on ML/LLM developments and explore practical implementations.

Skills

Team leadership

Communication

Stakeholder management

Python

SQL

Machine learning evaluation

Data pipelines

Education

Degree in Computer Science, Data Science, Statistics, Mathematics or related field

Tools

PyTorch

scikit-learn

LangChain/LangGraph

Azure OpenAI

Azure AI Search

Job description

RSM International seeks a Manager, AI Engineering to lead a small team in delivering robust AI solutions with hands-on involvement. You will set standards for design, testing, and documentation, promote responsible AI, and translate business needs into LLM-based workflows and APIs for integration into the central platform.

You will collaborate with IT governance, build data pipelines, manage stakeholders, and stay ahead of AI developments to drive cross-team projects effectively.