Principal AI Engineer

Principal AI Engineer (Software) - 2 Years Contract (GC/AP)
ST Engineering Seletar, North East Community Development Council, Singapore
Principal AI Engineer (Software) - 2 Years Contract (GC/AP)
ST Engineering Seletar, North East Community Development Council, Singapore
We’re building the next generation of computer vision development—where AI agents automate data curation, model tuning, and deployment, 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-performance 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 agents. You will play a key role in delivering scalable, production-grade systems that automate and accelerate ML workflows—driving model deployment, evaluation, and data pipelines. This is a hands-on role where software craftsmanship and AI expertise meet to push the boundaries of automation in computer vision.
This is a 2-year contract position (convertible if good performance) based in Singapore.
Key Responsibilities
Design and implement scalable agent-driven systems to automate Computer Vision MLOps workflows (training, deployment, evaluation)
Develop robust APIs and backend services that enable agent orchestration, memory management, and cross-component communication
Integrate vector databases, data quality validation, and semantic search to power intelligent agent behavior
Own the end-to-end software lifecycle: from development to testing, CI/CD automation, and cloud deployment
Build for reliability and maintainability: logging, monitoring, and exception handling are part of your design thinking
Optimize performance 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+ years of hands-on software engineering experience, with at least 2–3 years building AI/ML systems
Proven experience with:
Designing and deploying CI/CD pipelines for ML systems
Containerization and orchestration (Docker, Kubernetes)
Cloud infrastructure (AWS, GCP, or Azure)
API development using frameworks like FastAPI or Flask
Database technologies: SQL/NoSQL and vector databases (e.g., FAISS, Weaviate)
Familiarity with AI agent 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, documentation, modular design
Nice-to-Have Skills
Demonstrated experience through personal projects, prototypes, or open-source contributions in AI, CV, or agents
Hands-on with ML frameworks like PyTorch or TensorFlow
Exposure to ML observability and performance 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 agent systems
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Contract
Job function
Job function Information Technology
Industries Defense and Space Manufacturing
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