Principal AI Engineer - Software

ST Engineering; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Mid-to-Senior Software Engineer to join their innovative team focused on computer vision development. This exciting role involves designing and building a cutting-edge AI-powered platform that automates and accelerates machine learning workflows. You will work closely with researchers to transform advanced AI concepts into practical applications, ensuring the delivery of high-performance systems. This is a unique opportunity to be at the forefront of technology, driving the future of AI systems in a collaborative environment that values creativity and technical excellence.

Qualifications

• 5+ Jahre Erfahrung in der Softwareentwicklung, insbesondere in AI/ML-Systemen.
• Starke Python-Entwicklungsfähigkeiten, einschließlich testbarem, produktionsreifem Code.

Responsibilities

• Entwerfen und Implementieren skalierbarer Systeme zur Automatisierung von Computer Vision MLOps.
• Entwickeln robuster APIs und Backend-Services zur Agenten-Orchestrierung.

Skills

Python

AI/ML Systems

CI/CD Pipelines

Docker

Kubernetes

AWS

GCP

Azure

API Development

SQL/NoSQL Databases

Tools

FastAPI

Flask

FAISS

Weaviate

PyTorch

TensorFlow

Grafana

Datadog

Prometheus

Gradio

Job description

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

Strong Python development skills, including writing testable, production-grade code

Proven experience with:

o Designing and deploying CI/CD pipelines for ML systems

o Containerization and orchestration (Docker, Kubernetes)

o Cloud infrastructure (AWS, GCP, or Azure)

o API development using frameworks like FastAPI or Flask

o 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