AI Engineer

apartmentCargo Community Network Pte Ltd placeGeylang scheduleFull-time calendar_month20/5/26

We are seeking a motivated AI Engineer to design and deploy intelligent AI Agents that enhance automation, decision-making, and user experiences across the organization.

This role focuses on building and implementing AI solutions while contributing to the team’s standards, frameworks, and best practices. You will work closely with senior engineers and cross-functional teams to deliver scalable, secure, and high-quality AI systems, while continuously developing your expertise in modern AI technologies.

The successful candidate will have the opportunities to work on the follow functions.

Key Responsibilities

Design, develop, and deploy AI and machine learning solutions
Build and enhance AI Agents for automation, decision support, and user interaction
Support end-to-end AI projects, including data preparation, model development, and implementation
Implement and follow AI development standards, frameworks, and best practices
Monitor AI systems for performance, accuracy, and stability, and support retraining processes
Collaborate with cross-functional teams (software engineers, product managers, data teams) to deliver AI solutions
Contribute to documentation, reusable components, and knowledge sharing within the team
Stay updated with emerging AI tools, frameworks, and technologies

Qualification

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
Proven experience in building AI Agents, conversational AI, or autonomous systems.
Strong programming skills in Python, JavaScript, c#, or Java, with proficiency in.net frameworks and AI frameworks.
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Familiarity with MLOps practices, CI/CD pipelines, and version control (Git).
Excellent communication skills to document and train other developers on AI standards.

Strong Knowledge in

Machine Learning concepts and model development
Data processing, feature engineering, and basic statistical analysis
AI frameworks/tools (e.g., LangChain, TensorFlow, PyTorch, Microsoft Agent Framework, or similar)
Cloud platforms (AWS, Azure) fundamentals
Git and modern software development practices

Preferred Skills

Experience with AI Agent or LLM-based applications
Exposure to MLOps practices (model deployment, monitoring, lifecycle management)
Familiarity with containerization, APIs, and microservices architecture
Understanding of responsible AI, data governance, and security considerations
Ability to translate business requirements into practical AI solutions

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