Staff Full Stack AI Engineer Ho Chi Minh, Vietnam

About this role

As a Staff Full Stack AI Engineer, you will lead the design, development, and deployment of end-to-end AI/ML applications, including scalable front-end interfaces and robust back-end systems.

About our team

At Renesas, our Global AI, Data & Analytics Department is dedicated to enhancing productivity across the company by leveraging cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs). We work closely with business partners to deliver impactful AI-driven solutions that create value at a global enterprise scale. We are seeking passionate individuals who thrive in a collaborative, global team of technologists. Ideal candidates are excited about empowering internal customers, working with teammates across regions, and applying the latest advancements in AI and data technologies.

Responsibilities

• Lead UI and backend development for AI tool development projects.
• Build and enhance user interfaces and experiences for AI solutions, including front-end and back-end systems and deploying complete applications.
• Develop and maintain full stack AI/ML applications using Databricks tools and frameworks.
• Collaborate with data scientists and AI/ML engineers, and domain experts on cross-functional projects using Databricks Workspaces.
• Keep up to date with the latest developments and trends in AI/ML applications and Databricks technologies.

Qualifications

Must have :

• Bachelor's degree or higher in computer science, engineering, or a related field.
• 8-12 years of full-time work experience.
• Experience with web development frameworks and tools, such as React, Angular, Bootstrap, etc for AI applications.
• Proficient in Python, SQL, HTML, CSS, JavaScript, Node.js or other programming languages for full stack AI/ML development.
• Experience working with APIs
• Strong familiarity developing with Databricks products and services
• Have working knowledge of CI/CD.
• Strong communication, documentation, and white-boarding skills.
• Passionate about creating innovative and impactful AI/ML solutions.
• Business-level proficiency in English (written and spoken).

Strongly Preferred:

• Databricks certifications.
• Experience in developing and deploying full stack AI/ML applications using Databricks products and services.
• Knowledge of AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Azure certifications.
• Knowledge in LLM actual use cases.
• Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.

Additional Information