Senior AI Engineer
- Thỏa thuận
- 5 năm kinh nghiệm
Hạn nộp hồ sơ: 02/12/2026 (Còn 34 ngày)
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About the company A fast-growing B2B SaaS company building large-scale software solutions for global markets. The team operates in an international, flat, and transparent environment, working across AI engineering, computer vision, and cloud-native architectures. The organization values ambition, collaboration, and continuous learning.
The role
We are looking for a Senior AI Engineer to join a dynamic AI team focused on designing and delivering scalable, production-grade AI solutions for real-world business problems.
In this role, you will study existing business processes to identify opportunities for AI application, then design and implement high-availability agentic AI systems. You will be responsible for developing, deploying, monitoring, and optimizing AI solutions for performance, scalability, reliability, and cost efficiency, while integrating them into existing SaaS platforms.
You will collaborate closely with software engineers and cross-functional stakeholders, communicating results and progress clearly to both technical and non-technical audiences. You will also mentor and coach junior team members, and stay current with the latest advancements in AI, machine learning, and AI application architectures.
What we're looking for
Bachelor's or Master's degree in Computer Vision, Artificial Intelligence, Machine Learning, or a related field
5+ years of experience in software development
5+ years of experience in AI engineering and Computer Vision
Strong background in engineering, computer vision, and applied research
Solid understanding of core AI concepts: reasoning, planning, RAG, and multi-agent systems
Strong experience in AI evaluation methodologies
Strong Python and FastAPI programming skills
Strong experience with cloud computing, particularly AWS services (SageMaker, ECS, Lambda, Step Functions, S3, SQS, etc.)
Familiarity with microservices and event-driven architectures
Experience setting up data pipelines with cost efficiency and security in mind
Hands-on experience with AI tools and frameworks such as LangChain, TensorFlow, PyTorch, MCP, and scikit-learn
Must actively use AI in daily work across learning, research, architecture, coding, testing, and documentation; familiarity with Claude Code
Demonstrated ability to develop, implement, and integrate AI solutions into SaaS systems
Familiarity with software engineering best practices: version control, testing, and deployment
Ability to quickly learn new business domains and identify AI application opportunities
Excellent communication and collaboration skills; good English proficiency
Experience fine-tuning generative AI models is a plus
What we offer
Competitive salary and benefits package
Opportunity to build large-scale SaaS products for a global market
Annual health check-up and premium healthcare insurance covering employees and their families
International working environment with a flat and transparent organizational culture
Work alongside a young, ambitious, and talented team
Flexible working hours, Monday to Friday
15 days of annual leave
Flexible work-from-home policy (5 remote days per month)
Social, health, and unemployment insurance fully covered by the company
Free in-house entertainment facilities, coffee, and snacks
Company trip, large annual year-end party, and regular team-building activities
The role
We are looking for a Senior AI Engineer to join a dynamic AI team focused on designing and delivering scalable, production-grade AI solutions for real-world business problems.
In this role, you will study existing business processes to identify opportunities for AI application, then design and implement high-availability agentic AI systems. You will be responsible for developing, deploying, monitoring, and optimizing AI solutions for performance, scalability, reliability, and cost efficiency, while integrating them into existing SaaS platforms.
You will collaborate closely with software engineers and cross-functional stakeholders, communicating results and progress clearly to both technical and non-technical audiences. You will also mentor and coach junior team members, and stay current with the latest advancements in AI, machine learning, and AI application architectures.
What we're looking for
Bachelor's or Master's degree in Computer Vision, Artificial Intelligence, Machine Learning, or a related field
5+ years of experience in software development
5+ years of experience in AI engineering and Computer Vision
Strong background in engineering, computer vision, and applied research
Solid understanding of core AI concepts: reasoning, planning, RAG, and multi-agent systems
Strong experience in AI evaluation methodologies
Strong Python and FastAPI programming skills
Strong experience with cloud computing, particularly AWS services (SageMaker, ECS, Lambda, Step Functions, S3, SQS, etc.)
Familiarity with microservices and event-driven architectures
Experience setting up data pipelines with cost efficiency and security in mind
Hands-on experience with AI tools and frameworks such as LangChain, TensorFlow, PyTorch, MCP, and scikit-learn
Must actively use AI in daily work across learning, research, architecture, coding, testing, and documentation; familiarity with Claude Code
Demonstrated ability to develop, implement, and integrate AI solutions into SaaS systems
Familiarity with software engineering best practices: version control, testing, and deployment
Ability to quickly learn new business domains and identify AI application opportunities
Excellent communication and collaboration skills; good English proficiency
Experience fine-tuning generative AI models is a plus
What we offer
Competitive salary and benefits package
Opportunity to build large-scale SaaS products for a global market
Annual health check-up and premium healthcare insurance covering employees and their families
International working environment with a flat and transparent organizational culture
Work alongside a young, ambitious, and talented team
Flexible working hours, Monday to Friday
15 days of annual leave
Flexible work-from-home policy (5 remote days per month)
Social, health, and unemployment insurance fully covered by the company
Free in-house entertainment facilities, coffee, and snacks
Company trip, large annual year-end party, and regular team-building activities
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