AI Engineer

ASCENDION ENGINEERING SOLUTIONS SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

ASCENDION ENGINEERING SOLUTIONS SINGAPORE PTE. LTD. is seeking an AI Engineer to design, develop, and deploy AI-powered solutions across enterprise applications.

The role involves building ML pipelines, deploying models, and integrating AI with cloud platforms, APIs, and microservices while collaborating with cross-functional teams to deliver impactful AI outcomes. The ideal candidate will have hands-on ML experience, familiarity with generative AI and LLMs, and a strong foundation in software

Qualifications

• 3–8 years of experience in software engineering, ML, data science, or AI development.
• Strong programming skills in Python; familiarity with Java/JavaScript/C#.
• Hands-on with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, LangChain/LlamaIndex.
• Experience with Generative AI and LLM technologies (OpenAI, Azure OpenAI, Claude, Gemini).
• Knowledge of prompt engineering, RAG, vector databases, and AI agent frameworks.
• Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
• Build and maintain machine learning pipelines, data processing workflows, and model deployment frameworks.
• Develop AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering techniques.
• Fine-tune, evaluate, and optimize AI models for accuracy, performance, scalability, and cost efficiency.
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to deliver AI solutions.
• Integrate AI services with cloud platforms and enterprise systems using APIs and microservices architecture.
• Monitor AI model performance, troubleshoot production issues, and implement continuous improvements.
• Ensure AI solutions comply with security, governance, privacy, and responsible AI standards.
• Stay updated on emerging AI technologies and recommend innovative solutions to improve business outcomes.

Skills

Python programming

Machine learning

Generative AI

LLM concepts

Software engineering

Education

Bachelor's degree in Computer Science, AI, or related field

Tools

Docker

Kubernetes

CI/CD pipelines

Azure

AWS

GCP

LangChain / LlamaIndex

TensorFlow

PyTorch

Scikit-learn

Job description

We are seeking a highly motivated AI Engineer to design, develop, and deploy AI-powered solutions that solve complex business problems. The ideal candidate possesses strong software engineering fundamentals, hands-on experience with machine learning and Generative AI technologies, and the ability to translate business requirements into scalable AI applications. This role involves working closely with cross-functional teams to build intelligent systems, optimize AI models, integrate AI capabilities into existing products, and drive innovation through emerging technologies.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
• Build and maintain machine learning pipelines, data processing workflows, and model deployment frameworks.
• Develop AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering techniques.
• Fine-tune, evaluate, and optimize AI models for accuracy, performance, scalability, and cost efficiency.
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to deliver AI solutions.
• Integrate AI services with cloud platforms and enterprise systems using APIs and microservices architecture.
• Monitor AI model performance, troubleshoot production issues, and implement continuous improvements.
• Ensure AI solutions comply with security, governance, privacy, and responsible AI standards.
• Stay updated on emerging AI technologies and recommend innovative solutions to improve business outcomes.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or related disciplines.
• 3-8 years of experience in software engineering, machine learning, data science, or AI development.
• Strong programming skills in Python and familiarity with Java, JavaScript, or C#.
• Hands-on experience with AI/ML frameworks such as:
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • LangChain / LlamaIndex
• Experience with Generative AI and LLM technologies including:
  • OpenAI
  • Azure OpenAI
  • Claude
  • Gemini
  • Open-source LLMs (Llama, Mistral, etc.)
• Knowledge of prompt engineering, RAG architecture, vector databases, and AI agent frameworks.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with containerization and deployment tools such as Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of software engineering best practices, APIs, microservices, and system design