Wiz Holdings Pte Ltd – AI Application Engineer / (Intern / Junior Role)

WIZ.AI provides reliable, dialect-fluent enterprise Voice Agents that enable rapid deployment across customer service, outreach, quality assurance, and local-language operations. Our solutions deliver human-like engagement to support customer interactions at scale, helping businesses worldwide connect more effectively with their customers, enhance service quality, and achieve strong business ROI.

About the Role:

Candidates with no prior experience are welcome to apply. Internship opportunities are available.

We value potential, learning agility, and a proactive mindset. This role is suitable for individuals who are interested in AI and enjoy solving real-world problems through technology.

Key Responsibilities:

• Understand business needs and identify opportunities to solve problems using AI.
• Design, build, test, and improve AI-powered applications and workflows.
• Configure and optimise talkbots and AI solutions.
• Use AI tools, automation platforms, and technology to deliver practical solutions.
• Work closely with customers and project teams to ensure successful implementation.
• Monitor performance, analyse feedback, and continuously improve solutions.

Requirements:

• Interest in AI and emerging technologies.
• Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms will be advantageous.
• Proactive and willing to take ownership of tasks and outcomes.
• Strong problem-solving, analytical, and communication skills.
• Ability to learn new technologies and tools quickly.
• Familiarity with Python, Node.js, or other programming languages will be an advantage.
• Personal projects, GitHub repositories, hackathons, AI-related projects, or automation experience will be advantageous.

What You'll Get:

• Access to leading AI models and technologies from OpenAI, Anthropic, Google, and other frontier AI providers.
• Hands-on experience working on real-world AI projects that directly impact customers and business outcomes.
• Opportunities to learn from experienced architects, product leaders, and AI practitioners.
• Exposure to the full lifecycle of AI solution design, development, deployment, and optimisation.