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Principal AI Engineer, Software Job Opening In Central Singapore Community Development Council – Now Hiring ST Engineering


Job description

We're building the next generation of computer vision developmen t—where AI age nts automate data curation, model tuning, and deploymen t, accelerating the delivery of real-world AI systems.

Our mission is to bridge cutting-edge research with production software by empowering engineers with intelligent tools that scale.

As part of our team, you'll help build the infrastructure and systems that make this future possible.

We work closely with top universities and research labs, turning state-of-the-art AI ideas into deployable, high-performan ce solutions.

About the Role

We are looking for a Mid-to-Senior Software Engineer with strong AI/ML experience to help us design, build, and ship a Computer Vision platform powered by AI age nts.

You will play a key role in delivering scalable, production-grade systems that automate and accelerate ML workflows—driving model deploymen t, evaluation, and data pipelines.

This is a hands-on role where software craftsman ship and AI expertise meet to push the boundaries of automation in computer vision.

This is a 2-year contract position (convertible if good performan ce) based in Singapore.

Key Responsibilities

  • Design and implemen t scalable age nt-driven systems to automate Computer Vision MLOps workflows (training, deploymen t, evaluation)
  • Develop robust APIs and backend services that enable age nt orchestration, memory managemen t, and cross-component communication
  • Integrate vector databases, data quality validation, and seman tic search to power intelligent age nt behavior
  • Own the end-to-end software lifecycle: from developmen t to testing, CI/CD automation, and cloud deploymen t
  • Build for reliability and maintainability: logging, monitoring, and exception handling are part of your design thinking
  • Optimize performan ce and cost in storage and compute, especially for vision-specific workloads
  • Work with researchers and domain experts to translate state-of-the-art ideas into working code

Must-Have Skills

  • 5+ year s of hands-on software engineering experience , with at least 2–3 year s building AI/ML systems
  • Strong Python developmen t skills, including writing testable, production-grade code
  • Proven experience with:
  • Designing and deploying CI/CD pipelines for ML systems
  • Containerization and orchestration (Docker, Kubernetes)
  • Cloud infrastructure (AWS, GCP, or Azure)
  • API developmen t using frameworks like FastAPI or Flask
  • Database technologies: SQL/NoSQL and vector databases (e.g., FAISS, Weaviate)
  • Familiarity with AI age nt frameworks such as LangChain, AutoGen, CrewAI
  • Solid understanding of Computer Vision workflows, including image classification, detection, and tracking
  • Comfortable with software engineering best practices: version control, code reviews, documen tation, modular design

Nice-to-Have Skills

  • Demonstrated experience through personal projects, prototypes, or open-source contributions in AI, CV, or age nts
  • Hands-on with ML frameworks like PyTorch or TensorFlow
  • Exposure to ML observability and performan ce monitoring tools (e.g., Grafana, Datadog, Prometheus)
  • Experience building simple user-facing interfaces for demos or internal tools (e.g., with Gradio or Streamlit)
  • Familiarity with unit testing frameworks (e.g., Pytest) and static analysis tools
  • Prior experience in cross-functional collaboration, especially with researchers or product engineers
  • Knowledge of LLM integration for autonomous age nt systems

Required Skill Profession

Other General


  • Job Details

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Unlock Your Principal AI Potential: Insight & Career Growth Guide


Real-time Principal AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Principal AI in Central Singapore Community Development Council, Singapore, highlighting market share and opportunities for professionals in Principal AI roles.

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Are You Looking for Principal AI Engineer, Software Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ST Engineering adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Principal AI Engineer, Software Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Central Singapore Community Development Council. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Principal AI Engineer, Software?

Key qualifications for Principal AI Engineer, Software typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Principal AI Engineer, Software Job Success

ST Engineering interview tips for Principal AI Engineer, Software

Here are some tips to help you prepare for and ace your Principal AI Engineer, Software job interview:

Before the Interview:

Research: Learn about the ST Engineering's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal AI Engineer, Software interview at ST Engineering, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ST Engineering's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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