AI Engineer – Generative AI / Machine Learning

Teamlease Digital Private Limited; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Teamlease Digital Private Limited in Singapore is seeking an AI Engineer to design, develop and integrate AI-powered applications and prototypes using Python, ML and Generative AI. You will collaborate with research teams to translate objectives into practical solutions while ensuring data privacy and responsible AI practices.

The role requires hands-on experience with LLMs, RAG, AI agents or multimodal AI, plus familiarity with REST APIs, data pipelines and system integration.

Qualifications

• Strong programming skills in Python and ML frameworks.
• Solid understanding of ML, DL and Generative AI concepts.
• Hands-on experience with LLMs, RAG, AI agents or multimodal AI.
• Familiarity with REST APIs, databases, data pipelines and system integration.
• Experience with Linux, Docker and Git/GitHub.

Responsibilities

• Collaborate with research teams to translate objectives into AI solutions.
• Design, develop, test and integrate AI-powered applications and prototypes.
• Develop and validate ML and Generative AI models with relevant data.
• Optimize model accuracy, performance and reliability.
• Ensure reproducibility, security, data privacy and responsible AI practices.
• Maintain code, datasets and technical documentation.

Skills

Python

Machine Learning

Generative AI

LLMs

RAG

AI Agents

Multimodal AI

REST APIs

databases

data pipelines

system integration

software engineering practices

Linux

Docker

Git/GitHub

Education

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Electrical & Electronic Engineering or related discipline

Tools

Docker

GitHub

Job description

We are looking for a skilled AI Engineer with experience in Python, Machine Learning and Generative AI to support research and development initiatives. The candidate will be responsible for designing, developing, testing and integrating AI-powered applications, models and prototypes.

The ideal candidate should have strong programming skills in Python, a sound understanding of Machine Learning and Generative AI concepts, and hands-on experience in at least one of the following areas: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents or Multimodal AI.

Key Responsibilities

• Collaborate with research teams to understand requirements and translate research objectives into practical AI solutions.
• Assess AI feasibility, data requirements, technical approaches and implementation risks.
• Design and develop AI applications, models and prototypes using Python or equivalent programming languages.
• Develop, test and validate Machine Learning and Generative AI models using relevant datasets.
• Optimise model accuracy, reliability, processing performance and overall effectiveness.
• Integrate AI applications with APIs, databases, sensors, software platforms and external systems.
• Develop reusable AI components, frameworks and model evaluation practices.
• Maintain source code, datasets, models and technical documentation.
• Ensure reproducibility, security, data privacy and responsible AI practices.

Technical Skills & Qualifications

Essential Requirements:

• Strong programming skills in Python or a comparable programming language.
• Good understanding of Machine Learning, Deep Learning and Generative AI concepts.
• Hands-on experience in at least one of the following:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• Multimodal AI
• Working knowledge of REST APIs, databases, data pipelines and system integration.
• Experience with software engineering practices, testing, version control and technical documentation.
• Practical experience with Linux, Docker and Git/GitHub.

Preferred Qualifications:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Electrical & Electronic Engineering or a related discipline.
• Approximately 3 years of professional experience in AI, Machine Learning, Data Science or software development.
• Experience in quantitative AI model evaluation, validation and performance optimisation.
• Knowledge of system architecture and application integration.
• Basic networking knowledge.
• Experience in image and video analysis applications.
• Familiarity with open-source AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex and Hugging Face.

Required Soft Skills

• Ability to understand research requirements and translate them into technical solutions.
• Strong verbal and written English communication skills.
• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong analytical thinking, independent problem-solving and teamwork abilities.
• Curiosity and adaptability to work with emerging AI technologies and evolving research requirements.