Senior Technical Lead

Sapsf; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Sapsf in Singapore invites applications for a Senior Technical Lead (ML Eng) to design, build, and scale AI solutions within a DevOps-driven environment. You will drive end-to-end ML lifecycles from concept to deployment and collaborate with cross-functional teams.

You will deploy ML systems with multi-agent and RAG capabilities, ensure reliability in production, and orchestrate LLMs while optimizing performance across the stack.

Qualifications

• Bachelor's or Master's in DS/CS/Math/Stats or related field.
• Strong Python programming with ML libraries and DL frameworks (TensorFlow or PyTorch).
• Proven experience with Large Language Models (LLMs).
• Understanding of AI agents, orchestrators, and reasoning patterns.

Responsibilities

• Develop, deploy, and optimize ML/AI solutions for complex business challenges.
• Create multi-agent systems and agent/tool-calling capabilities.
• Design and implement RAG systems grounding AI responses in enterprise data.
• Assess and integrate AI models (e.g. LLMs) ensuring performance and reliability.
• Optimize agentic workflows for production use cases.
• Test and optimize system prompts and few-shot examples for accuracy and safety.
• Evaluate ML/AI models with appropriate metrics and datasets.
• Collaborate with platform teams, data engineers, data scientists, and stakeholders.
• Participate in code reviews, testing, and debugging to ensure quality.

Skills

Problem solving

Communication

Task prioritization

Continuous learning

Attention to detail

Education

Bachelor's or Master's in Data Science, Computer Science, Mathematics, Statistics, or related field

Tools

Python

TensorFlow

PyTorch

LLMs

Job description

Career Opportunities: Senior Technical Lead (152906)

Requisition ID152906-Posted10/07/2026

GENERAL DESCRIPTION
We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.

Key Responsibilities

KEY FEATURES OF THE POSITION
Functional / Technical

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Create multi-agent systems and equip AI models with function/tool‑calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Skill Requirements

SKILLS REQUIREMENTS OF THE POSITION

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Understanding software development best practices, including version control, testing, and documentation
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Minimum 3 – 6 years of relevant work experience in machine learning, data science or a related field