Artificial Intelligence Engineer

About Ailytics

Ailytics delivers Smarter Vision for Industrial Safety & Productivity.

We use AI-powered video analytics to turn existing CCTV infrastructure into real-time operational intelligence for heavy industries. Our platform helps teams detect risks earlier, improve site discipline, and make faster, data-backed decisions.

Our journey began in 2021, and today we're covering over 500 million meters of workspace across 10+ countries.

Interested in learning more about Smarter Vision? Contact us at Marketing@Ailytics.ai or +65 6859 4780 to find out more!

Position: AI Systems Engineer (Vision, Automation & Multimodal)

Company: Ailytics · Southeast Asia (Remote)

Here at Ailytics, we’re building AI solutions to envision a safer world. By combining computer vision and predictive analytics, we enable organizations to proactively identify risks, optimize processes, and ultimately save lives. Our platforms are deployed globally, covering more than 500 million square meters.

We are looking for a highly technical, hands-on AI Systems Engineer who thrives at the intersection of experimentation and production. This role goes beyond training models; you will design and deploy scalable Large Vision Model (LVM) pipelines, integrate multimodal systems into real-world products, and build intelligent automation tools that improve both customer-facing solutions and internal workflows.

You will work closely with our Computer Vision team and engineering teams to transform advanced AI capabilities into robust, production-grade systems. This is not an entry-level role. We are looking for someone who can independently drive initiatives, take ownership of end-to-end systems, and deliver high-impact solutions. This opening is available in Singapore, Hong Kong, or remote for somebody within a 2.5 hour range to Singapore's timezone.

What You Will Be Doing

• Design, build, and maintain scalable Large Vision Model (LVM) pipelines for production environments.
• Collaborate closely with the Computer Vision team to translate research and prototypes into deployable systems.
• Develop end-to-end AI solutions including data pipelines, model integration, inference optimization, monitoring, and continuous improvement.
• Integrate multimodal systems (vision-language models, LLM + CV workflows) into customer-facing AI products.
• Optimize models for deployment using quantization, pruning, ONNX conversion, TensorRT optimization, and edge deployment techniques.
• Architect and maintain APIs, microservices, and backend systems required to serve AI models reliably at scale.
• Build internal AI tools and automation systems to streamline operations, reduce manual processes, and improve cross-team efficiency.
• Identify opportunities to automate repetitive workflows (e.g., annotation processes, quality checks, reporting, internal knowledge workflows).
• Rapidly prototype new ideas while maintaining a strong focus on scalability, maintainability, and production readiness.
• Stay up to date with emerging foundation models, tooling, and infrastructure best practices to continuously elevate our AI stack.

Our Ideal Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or a related technical field.
• 3+ years of experience building and deploying AI/ML systems in production.
• Strong hands-on experience with computer vision models and/or Large Vision Models.
• Experience integrating multimodal systems (vision + language) is a strong plus.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with model optimization and deployment tools including ONNX, TensorRT, quantization, pruning, and model format conversion.
• Experience building scalable ML pipelines and serving infrastructure.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Experience building internal tools, automation systems, or AI-powered workflow improvements is highly desirable.
• Comfortable working in fast-paced startup environments with high ownership and autonomy.
• Strong communication skills and ability to collaborate across research, engineering, and product teams.

Why Work At Ailytics?

• This is an opportunity to create lasting impact and explore the intersection of AI and safety.
• We’re a start-up that’s still in its early stages. If you’re looking for an environment where you can really make an impact, this is it.
• We value strong standards, high transparency, and low ego. Let us know if this sounds like you.

Location

Southeast Asia