Senior AI Engineer
Engineering Software Development AI/ML AI/Artificial Intelligence Software Engineering Python
Salary
Location
Benefits
13th month salary
Flexible working time
Full social insurance
Other benefits
Yearly salary review
Travel/company trips
Laptop/desktop for works
Extra health insurance
Work-from-home
Job Overview And Responsibility
- Study and understand our current business to identify potential areas where AI can be applied. - Design the scalable, HA agentic AI system. - Develop, implement and deploy AI solutions to solve real-world business problems. - Monitor & optimize AI solutions for performance, scalability and reliability. - Collaborate with the AI team and software engineers to build, integrate, and maintain AI models in production systems. - Integrate AI solutions into existing systems. - Optimize performance and cost for our system. - Work collaboratively with software developers to ensure successful deployment of AI services. - Communicate results and progress clearly to technical and non-technical stakeholders. - Stay up-to-date with the latest developments in AI, machine learning and AI application architectures. - Training and coaching for junior members.
Required Skills and Experience
- Bachelor's or Master's degree in computer science, artificial intelligence, or related field. - 5+ years of experience software development with at least 3 years in AI engineering with proven hands-on work. - Strong experience in software system design, Agentic AI architectural design patterns. - Solid understanding of core AI concepts: reasoning, planning, RAG, multi-agent systems. - Strong experience in AI Evaluation. - Strong Python, FastAPI programming skills. - Strong experience in cloud computing (AWS services such as SageMaker, ECS, Lambda, Step Function, S3, SQS…etc). - Familiar with microservices, event driven architectures. - Familiar with setup a data pipeline with cost efficiency and security in mind. - Experience with AI tools and technologies, such as LangChain, TensorFlow, PyTorch, MCP, and scikit-learn. - Must have experience with using AI in your daily work, from learning, research to architecture, coding, testing and documenting. Familiar with Claude Code. - Demonstrated ability to develop, implement and integrate AI solutions to SaaS systems. - Familiar with software engineering practices, such as version control, testing, and deployment. - Ability to quickly learn and understand new business domains and identify potential areas for AI applications. - Excellent communication and collaboration skills. - Good in English communication.
Why Candidate should apply this position
- Competitive salary and benefits package - Building large-scale SaaS for global. - Healthcare: Annual health check-up, Premium Healthcare Insurance for you and your loved ones. - International working environment, flat and transparent organization - Working & growing with Young, Ambitious & Talented Team - Flexible working time, from Monday to Friday - Work hard, rest well: Enjoy 15 days of annual leave - Prioritizing a work-life balance with the flexible work-from-home policy (5 day remote per month) - Social – Health – Insurance paid fully - Free in-house entertainment facilities, coffee, and snack - Company trip, big annual year-end party every year, team building, etc
Preferred skills and experiences
- Experience fine-tuning generative AI models is a plus.
Report to
Lead
Interview process
1 offline interview with Lead
Apply for this job
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