Roles and Responsibilities:
• Work closely with a wide variety of stakeholders to analyze and break down high-level requirements into small, simple, workable deliverables.
• Understand complex problems and effectively facilitate technical decisions and actions.
• Evaluate technical viability, risks and resource requirements of integrating AI components to solutions.
• Design, implement, test, and deliver to production, complete end-to-end fully functional solutions.
• Contribute to software architecture design and drive improvements.
• Develop enterprise-scale MVP and subsequent roll-out to future areas.
• As a full stack developer, work across all tiers of the applications.
• Ensure highest technical quality of deliverables, and ensure they are cost-effective to maintain by incorporating automated product testing for functions, performance, security.
• Contribute relevant, clean, concise, and quality documentation to AIA knowledge base to support/increase information sharing within the organization.
• Automate any repetitive development tasks and bring efficiency to the team.
• Work across multiple projects simultaneously. Able to multi-task and manage multiple assignments in a fast-paced environment. 
• Process bug reports and release fixes.
• Participate in code reviews.
• Participate in agile processes.
• Always think innovatively to solve problems.
• Keep up to date with industry developments, new systems, AI technology, trending solutions, etc.
Minimum Job Requirements:
• Bachelor’s degree or higher in computer science, engineering, science or related fields, or equivalent in experience and evidence of exceptional ability.
• Minimum 6 years of working experience in full stack development.
• Minimum 3 years of working experience in AI engineering projects.
• Proven experience in at least 2 popular programming languages, preferably Java, JavaScript, Python, C++, Go.
• Proven experience in at least 1 popular software framework, preferably Spring Boot, Flask, Django, React, Angular, Gin.
• Proven experience in at least 1 popular database, preferably Azure SQL, Microsoft SQL, MySQL, PostgreSQL, Oracle, MongoDB.
• Experience in at least 1 popular cloud service, preferably Azure, AWS, GCP.
• Innovation mindset to solve business problems with emerging technologies.
• Knowledge in cybersecurity.
• Customer focus.
• Good team player.
• Strong communication skills in English, Mandarin or Cantonese.
Preferred Qualifications
• Knowledge in science and tuning of AI models, including deep machine learning models, generative AI models and large language models.
• Experience in large-scale application architectural design.
• Experience in distributed system tools, such as Docker, Kubernetes, OpenShift, HPE Ezmeral, Redis, Kafka, etc.
• Experience in DevOps tools, such as GitHub, Bitbucket, Maven, Nexus, Jenkins, Ansible, JFrog, Liquibase.
• Experience in automated testing tools, such as JMeter, Selenium, PyTest, Junit, Mocha, RPA.
• Experience in monitoring tools, such as Dynatrace, Spunk, Kibana.
• Experience in RESTful API design and implementation.
• Experience in DevOps, MLOps and LLMOps.
• Experience in Agile/Scrum software development process.
• Team management skills.