Software Engineering (Full-Stack) Intern - in Sydney, Australia at INAUTALENT
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Software Engineering, Full-Stack Development, JavaScript, TypeScript, Frontend Frameworks, Backend Development, APIs, Python, Databases, Data Flows, Technical Documentation, AI, Emerging Technologies, Product Development, Communication Skills, Multicultural Team

Industry

Business Consulting and Services

Description
About Client Our client is an early-stage EdTech startup based in Sydney, founded by international entrepreneurs. The company is developing innovative learning technology for children, combining hardware, software, and AI to create a safe, engaging, and purpose-built educational environment. After successfully validating their concept through an initial pilot, the business is now entering its next growth phase and preparing for a market launch in 2026. Their mission is to build technology that supports children’s learning and wellbeing in a meaningful and responsible way. NOTE: The client is open to international full-time interns undertaking a 6-month internship in Sydney as part of their university requirements, as well as local Sydney-based candidates available for part-time arrangements. About the Role Our client is seeking a Full-Stack Engineering Intern (Founding Intern) to work closely with the technical lead and founders on building the core product from the ground up. This is a highly hands-on role where you will contribute across backend, frontend, and AI-related systems. You will be involved in technical architecture, product development, and platform scalability while gaining real startup experience in a fast-paced environment. Key Responsibilities Support the development and scaling of backend infrastructure, including databases, storage, and cloud functions Design and maintain APIs connecting applications, dashboards, and AI systems Develop and improve web-based dashboards using modern frontend frameworks Assist with migrating web-based applications into modular or hybrid apps Integrate AI voice and speech technologies into the platform Build and maintain data pipelines between devices and cloud systems Collaborate closely with the technical lead on architecture, strategy, and implementation Support platform readiness for future launch, updates, and scaling More Info Internship duration: 3 to 6 months Start date: ASAP or early February 2026 Location: Sydney, Australia Working arrangement: International interns: full-time Local candidates: part-time, typically around 3 days per week Monthly allowance provided to support living expenses About You Currently in the final year of a Bachelor’s or Master’s degree in Software Engineering, Computer Science, or a related field Hands-on experience building software products, gained through university projects, internships, or personal projects Strong foundation in JavaScript or TypeScript and modern frontend frameworks Basic knowledge of backend development and APIs, Python or similar frameworks is a plus Comfortable working with databases, data flows, and technical documentation Strong interest in AI, emerging technologies, and product development Proactive, adaptable, and motivated to contribute in an early-stage startup environment Good communication skills and comfortable working in a multicultural team Benefits Hands-on experience in an early-stage tech startup Direct mentorship from an experienced technical lead and founders Exposure across full-stack development, AI, and product architecture Opportunity to contribute to a real product preparing for market launch Flexible working arrangements depending on profile and location Supportive, collaborative, and fast-moving team culture

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Responsibilities
The intern will support the development and scaling of backend infrastructure, design and maintain APIs, and assist with migrating web-based applications. They will also integrate AI technologies and collaborate closely with the technical lead on architecture and implementation.
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