Tuyển dụng Senior Back-End Developer Python, AI/ML, Integration tại Hồ Chí Minh

Top 3 Reasons To Join Us 13th Salary; Performance bonus Premium health care for you and your family Opportunity to be on site in the USA The Job

YOU 

You want to be an important member of a strong team of other makers who take pride in their work and support each other. As a Senior Backend Developer, you will join the AI-Powered Takeoff Team in Vietnam, collaborating closely with U.S. stakeholders and coordinating with external vendors to build an AI-driven product that transforms technical drawings (PDFs, CAD files, and blueprints) into actionable data, directly improving product performance and business efficiency. That’s year one. If career growth is important to you, we not only know how to help you with that, it’s what we love to do:  

 

PROJECT DESCRIPTION 

AI-Powered Takeoff is an intelligent construction TakeOff platform designed to automate material quantity takeoffs from architectural and engineering drawings. By leveraging computer vision, machine learning, and the system extracts, measures, and categorizes building components directly from digital blueprints PDF, significantly reducing manual effort, errors, and turnaround time. 

The objective of AI-Powered Takeoff is to: 

• Automate quantity detection from drawings 
• Assist with measurements (length, area, count, volume) 
• Organize extracted quantities in structured formats 
• Support revision comparison 
• Reduce manual tracing effort 

WHAT YOU’LL BE DOING 

At Simpson Strong-Tie we value the individual, and the creativity that individuals can bring to the workplace. You join this company for a career, not a job! 

Backend Engineering:  

• Design, build, and maintain backend services using Python, C#.  
• Develop APIs, background services, distributed workers, and integration modules.  
• Build postprocessing logic to convert AI inference results into business ready structures.  
• Design scalable backend architecture supporting long running processes and high throughput.  
• Use Docker for containerization, service isolation, and deployment of workflows.  
• Performance tuning, scaling, and workflow optimization.  

AI Service Integration:  

• Integrate in-house AI models through backend APIs and AI-hosted inference services.  
• Connect backend services to AI inference pipelines.  
• Implement validation of layers, fallbacks, retry logic, and monitor AI behavior.  
• Diagnose and resolve issues across AI orchestration, data handling, and pipeline interoperability.  
• Work with AI pipelines and coordinate multi-step inference flows with serverless, event based.  

MLOps & Deployment  

• Deploy models into production with scalable, low-latency infrastructure.  
• Optimize Compute usage and cloud resource consumption (Azure, AWS, or GCP).  
• Implement monitoring systems for model performance, drift detection, and automated retraining pipelines.  
• Maintain model serving infrastructure (TorchServe, ONNX, Triton, or equivalent).  

Collaboration, Delivery & Support  

• Work with Product Managers to clarify requirements and solution boundaries.  
• Collaborate closely with PTO Tool team, AI team, US partners, and vendors.  
• Support QA, troubleshoot production workflows, and drive continuous improvement.  
• Translate complex CV/ML outputs into actionable insights for estimators, project managers, and product stakeholders  

 

Your Skills and Experience

If you can do everything listed above, you’ve got what it takes. Perhaps some of the following would be helpful too: 

Background:  

• Bachelor's degree in Computer Science   
• TOEIC 600 or Relevant  
• 5+ years’ professional experience in software development role.  
• 3+ years’ experience as a Full Stack Developer with in-depth knowledge of Python, C#, .NET backend technologies.  

Technical Skill:  

• Strong proficiency in Python, C#/.NET backend engineering.  
• Proficient in Web Development, REST APIs, Database (SQL/NoSQL), and Unit Testing.  
• Strong experience in solid debugging, monitoring, performance tuning, and reliability engineering skills.  
• Experience in microservices, event-driven, and distributed systems.  
• Experience in Azure Cloud services (Functions, Storage, Event systems, Machine Learning, …).  
• Experience in Docker for packaging and local development.  
• Proficient in source code control (Git), CI/CD, deployment, and automation workflows.  
• Wo