AI Engineer

TOPPAN Ecquaria Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TOPPAN Ecquaria Pte Ltd is seeking an AI Engineer to design, develop, and deploy scalable AI solutions for enterprise use cases in Singapore. You will shape solution architecture, select models and tools, and partner with clients to translate requirements into practical technical outcomes.

The role emphasizes hands-on development with LLMs, generative AI, and open-source models, plus end-to-end pipeline coverage from data prep to deployment and monitoring.

Qualifications

• Bachelor's degree in CS/AI or related field.
• 2–3 years in data science or ML roles.
• Experience designing, deploying AI solutions including LLMs/generative AI.
• Strong knowledge of ML/DL, NLP, transformers.
• Proficient in Python and ML frameworks.
• Experience with cloud platforms and APIs.
• Understanding of security, privacy, and ethics.

Responsibilities

• Design and implement scalable AI solutions for enterprise use cases.
• Contribute to AI solution architecture including models and APIs.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Develop AI pipelines from data processing to deployment and monitoring.
• Integrate AI solutions with Azure OpenAI, Hugging Face, and APIs.
• Research and evaluate emerging AI technologies for enterprise applications.
• Ensure security, privacy, scalability, and responsible AI practices.

Skills

AI/ML concepts

NLP/Transformers

Python

Model deployment

Cloud platforms

APIs

Data engineering

Communication skills

Problem solving

Stakeholder mgmt

Education

Bachelor's degree in CS/AI/related

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

CrewAI

AutoGen

Azure

AWS

GCP

Job description

Responsibilities

• Design, develop, and implement scalable AI and generative AI solutions for enterprise use cases.
• Contribute to AI solution architecture, including the selection of appropriate models, frameworks, APIs, cloud services, and technologies.
• Collaborate with business stakeholders, domain experts, and clients to understand requirements and translate them into practical technical solutions.
• Develop and integrate AI solutions leveraging LLMs, generative AI, AI agents, and open-source models.
• Integrate AI solutions with APIs, enterprise applications, databases, and platforms such as Azure OpenAI and Hugging Face.
• Develop and optimise end-to-end AI pipelines covering data processing, model development, deployment, and monitoring.
• Implement RAG, vector databases, similarity search, and other techniques to improve AI application performance and information retrieval.
• Conduct research, proof-of-concepts, and evaluations of emerging AI technologies for enterprise applications.
• Establish appropriate evaluation methods to assess the quality, accuracy, relevance, and performance of AI solutions.
• Ensure AI solutions adhere to appropriate security, privacy, scalability, and responsible AI practices.

Prerequisites

• Bachelors Degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline.
• Minimum 2-3 years of experience in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Experience designing, developing, integrating, and deploying AI solutions, including LLMs, generative AI, AI agents, and/or open-source AI models.
• Strong knowledge of machine learning, deep learning, NLP, generative AI, and Transformer-based models such as GPT and BERT.
• Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, CrewAI, or AutoGen.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in cloud environments.
• Experience with APIs, databases, vector databases, RAG, embeddings, and AI application integration.
• Understanding of solution architecture principles, system integration, scalability, security, and performance optimisation.
• Knowledge of data engineering practices, including data preparation, cleaning, preprocessing, and pipeline development.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Strong communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Passion for AI innovation and the ability to stay current with emerging AI technologies and industry trends.