Senior AI Engineer
Hạn nộp hồ sơ: 30/08/2026 (Còn 4 ngày)
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Mô tả công việc
Tóm tắt công việc
About the Role
We are looking for a Senior AI Engineer to design, develop, and deploy AI-powered solutions that address complex business challenges. This role requires a strong combination of AI/ML expertise, cloud technologies, MLOps practices, and system design capabilities.
The ideal candidate has experience building AI applications in production environments, contributing to technical architecture decisions, and driving the adoption of modern AI techniques to improve solution quality and scalability.
Key Responsibilities
AI Solution Development
Design, build, and deploy AI/ML applications and services for production environments.
Participate in technical design discussions and contribute to architecture decisions for AI-driven systems.
Develop scalable and maintainable AI solutions aligned with business and technical requirements.
Evaluate and implement advanced AI techniques to improve system performance and user experience.
Generative AI & Machine Learning
Design and implement modern AI solutions utilizing technologies and approaches such as:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)
Agentic AI frameworks and workflows
Optimize AI applications for performance, accuracy, reliability, and scalability.
Collaborate with product and engineering teams to integrate AI capabilities into software products.
Cloud & MLOps
Build and maintain AI solutions on cloud platforms, preferably Microsoft Azure.
Develop and manage MLOps pipelines covering model deployment, monitoring, versioning, and continuous improvement.
Deploy and operate containerized applications using technologies such as Docker and Kubernetes.
Support production operations and continuously improve system reliability and performance.
Data & System Design
Work with structured and unstructured data to support AI model development and deployment.
Design and optimize data pipelines, databases, and data storage solutions for AI workloads.
Contribute to the design of scalable AI services capable of supporting growing business demands.
Collaboration & Leadership
Take ownership of assigned initiatives and deliver high-quality solutions.
Mentor junior engineers and share best practices across the team.
Collaborate effectively with stakeholders, product teams, and other engineering functions.
Actively contribute to technical discussions, code reviews, and continuous improvement initiatives.
• Competitive salary with 13th‐month bonus, productivity bonus, and annual salary review
• Comprehensive healthcare package, including 24/24 personal accident insurance
• State‐of‐the‐art office environment (gym, shower, basketball & soccer field) with a high‐end laptop provided
• Work hand‐in‐hand with global software teams (Australia, New Zealand, UK, US, Canada...)
• Strong learning culture: paid self‐learning hours, LinkedIn Learning & Pluralsight access, in‐person classes with professional trainers (leadership, soft skills, English...), workshops, technical sharing activities...
• Clear career development with structured onboarding, ongoing training, and a mentorship program
• Flexible working: 5‐day work week and flexible start times
• Free lunch and free parking
• Team bonding through quarterly team‐building events, yearly company outing, and a special 3‐year anniversary trip
• Active social clubs: gym, yoga, football, badminton, swimming...
About the Role
We are looking for a Senior AI Engineer to design, develop, and deploy AI-powered solutions that address complex business challenges. This role requires a strong combination of AI/ML expertise, cloud technologies, MLOps practices, and system design capabilities.
The ideal candidate has experience building AI applications in production environments, contributing to technical architecture decisions, and driving the adoption of modern AI techniques to improve solution quality and scalability.
Key Responsibilities
AI Solution Development
Design, build, and deploy AI/ML applications and services for production environments.
Participate in technical design discussions and contribute to architecture decisions for AI-driven systems.
Develop scalable and maintainable AI solutions aligned with business and technical requirements.
Evaluate and implement advanced AI techniques to improve system performance and user experience.
Generative AI & Machine Learning
Design and implement modern AI solutions utilizing technologies and approaches such as:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)
Agentic AI frameworks and workflows
Optimize AI applications for performance, accuracy, reliability, and scalability.
Collaborate with product and engineering teams to integrate AI capabilities into software products.
Cloud & MLOps
Build and maintain AI solutions on cloud platforms, preferably Microsoft Azure.
Develop and manage MLOps pipelines covering model deployment, monitoring, versioning, and continuous improvement.
Deploy and operate containerized applications using technologies such as Docker and Kubernetes.
Support production operations and continuously improve system reliability and performance.
Data & System Design
Work with structured and unstructured data to support AI model development and deployment.
Design and optimize data pipelines, databases, and data storage solutions for AI workloads.
Contribute to the design of scalable AI services capable of supporting growing business demands.
Collaboration & Leadership
Take ownership of assigned initiatives and deliver high-quality solutions.
Mentor junior engineers and share best practices across the team.
Collaborate effectively with stakeholders, product teams, and other engineering functions.
Actively contribute to technical discussions, code reviews, and continuous improvement initiatives.
• Competitive salary with 13th‐month bonus, productivity bonus, and annual salary review
• Comprehensive healthcare package, including 24/24 personal accident insurance
• State‐of‐the‐art office environment (gym, shower, basketball & soccer field) with a high‐end laptop provided
• Work hand‐in‐hand with global software teams (Australia, New Zealand, UK, US, Canada...)
• Strong learning culture: paid self‐learning hours, LinkedIn Learning & Pluralsight access, in‐person classes with professional trainers (leadership, soft skills, English...), workshops, technical sharing activities...
• Clear career development with structured onboarding, ongoing training, and a mentorship program
• Flexible working: 5‐day work week and flexible start times
• Free lunch and free parking
• Team bonding through quarterly team‐building events, yearly company outing, and a special 3‐year anniversary trip
• Active social clubs: gym, yoga, football, badminton, swimming...
Yêu cầu
Required Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
5+ years of experience in software engineering, machine learning engineering, or AI development.
Experience designing scalable and reliable AI services.
Strong programming skills in Python.
Strong analytical, problem-solving, and communication skills.
Demonstrated ownership, accountability, and ability to work independently.
Proven experience building and deploying AI/ML applications in production environments.
Experience contributing to system design and technical architecture decisions.
Strong knowledge of machine learning, generative AI, and modern AI application development.
Hands-on experience with:
Microsoft Azure or other major cloud platforms
MLOps tools and practices
Docker and container orchestration technologies
Model and service deployment
Databases and data warehouse solutions
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
5+ years of experience in software engineering, machine learning engineering, or AI development.
Experience designing scalable and reliable AI services.
Strong programming skills in Python.
Strong analytical, problem-solving, and communication skills.
Demonstrated ownership, accountability, and ability to work independently.
Proven experience building and deploying AI/ML applications in production environments.
Experience contributing to system design and technical architecture decisions.
Strong knowledge of machine learning, generative AI, and modern AI application development.
Hands-on experience with:
Microsoft Azure or other major cloud platforms
MLOps tools and practices
Docker and container orchestration technologies
Model and service deployment
Databases and data warehouse solutions
Thông tin khác
AI (Artificial Intelligence)
Machine Learning
Python
System Design
Docker
Architecture
MS Azure
Data Warehouse
MLOps
LLM
RAG
Machine Learning
Python
System Design
Docker
Architecture
MS Azure
Data Warehouse
MLOps
LLM
RAG
Thông tin chung
- Thu nhập: Thỏa Thuận
Việc làm tương tự khác
CÔNG TY TNHH ZIGEXN VENTURA
Hà Nội, Hồ Chí Minh, Đà Nẵng
Thoả thuận
Công Ty TNHH Boydens Vietnam Part Of Sweco
Hà Nội, Hồ Chí Minh
Cạnh tranh
Ngân hàng TMCP Ngoại thương Việt Nam - Vietcombank
Hồ Chí Minh
Thương lượng
CÔNG TY TNHH ZIGEXN VENTURA
Hà Nội, Hồ Chí Minh, Đà Nẵng
Từ 1 Triệu - Dưới 4 Triệu VNĐ / Tháng
Công ty TNHH MiTek Vietnam
Xem trang công ty- Địa chỉ công ty: A5 Building, Parcel A5, E-Office Park, Sang Tao Street, Tan Thuan EPZ, Tan Thuan Ward, Ho Chi Minh City, Vietnam.
- Quy mô: Từ 5000 - 10000 nhân viên
- Lĩnh vực: IT phần mềm
Thông tin công việc
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