Product Engineering Intern

About Anchor Sprint

Anchor Sprint is a high‑growth technology company driving Malaysia's digital transformation. We build innovative solutions across industries using modern architectures (microservices, serverless and containerization) deployed on AWS and manage infrastructure through Terraform. We embrace artificial intelligence as a catalyst for creativity and nurture talent through mentorship, continuous learning and collaboration.

Role Summary

We are looking for self‑driven interns who aspire to become product engineers of the future. This internship blends product thinking, machine‑learning experimentation and software engineering. You will collaborate with product, design and engineering teams to research customer problems, prototype AI‑powered solutions, develop microservices on AWS and contribute to product launches.

Key Responsibilities

• Support product discovery – Assist product managers with market and user research to uncover customer pain points and competitive insights.
• Prototype AI solutions – Collaborate with AI engineers to prepare training data, develop prompts and evaluate models. Contribute to building and testing AI‑powered features and prototypes with a data‑driven approach.
• Develop software and microservices – Contribute to developing ASP.NET Core microservices and APIs on AWS. Use AI‑assisted coding tools like GitHub Copilot to write clean, well‑tested C# code.
• Infrastructure as code – Learn to manage cloud infrastructure using Terraform modules and follow best practices in version control and deployment pipelines.
• Drive product execution – Help write feature specifications, craft user flows and participate in quality‑assurance activities during the product delivery process.
• Support product launches – Assist with creating onboarding guides, updating documentation and preparing demos for product launches and marketing campaigns.
• Analyze and iterate – Use analytics tools to monitor product performance and derive insights for improvements. Work with the team to define and track key performance metrics and iterate on the product vision.

Qualifications

Required

• Current university student or recent graduate in Computer Science, Software Engineering, Data Science or a related field.
• Foundational programming skills in C#, Python or a similar language, plus familiarity with web frameworks (e.g., ASP.NET Core or ).
• Interest in AI/ML with the ability to perform exploratory data analysis and a willingness to learn prompt engineering and large‑language‑model techniques.
• Exposure to cloud platforms (AWS preferred) and infrastructure‑as‑code tools (Terraform or similar).
• Strong problem‑solving, communication and collaboration skills, and a passion for delivering customer‑centric solutions.

Preferred

• Familiarity with version control (Git), CI/CD pipelines and containerization (Docker/ECS).
• Exposure to product analytics tools and basic UI/UX principles.
• Prior experience with machine‑learning frameworks or generative AI tools.

What You Will Gain

• Hands‑on experience building AI‑enabled microservices and products on AWS.
• Mentorship from experienced product managers, AI engineers and software architects.
• Exposure to generative AI tools (ChatGPT, GitHub Copilot, Retrieval‑Augmented Generation) and best practices for integrating them into real products.
• Insight into how data, market research and analytics inform product decisions and roadmaps.
• Opportunity to contribute to meaningful projects that impact users and industries, and to explore career paths in AI product management or software engineering.

How to Apply

If you're excited about using AI to build the next generation of products and want to develop both engineering and product skills, we'd love to hear from you. Submit your résumé and a brief statement of interest to