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Innovista Labs is seeking an engineer to build and launch web products and mobile applications. You will independently own implementation, from product brief to deployment, working closely with the founder and a product/generalist.
You will lead frontend, mobile and backend work, integrate APIs, payment and AI features, and configure cloud infrastructure for reliable, scalable delivery.
About Innovista Labs
Innovista Labs is the parent company of ThePrepLab and undertakes technology projects across different domains. ThePrepLab helps educators create and evaluate assessments, using AI to simplify question extraction, formatting, grading and OMR evaluation. We are building a small team to explore, validate and launch new products at Innovista Labs. You will work directly with the founder, with access to company equipment, AI subscriptions and infrastructure, to turn early ideas into working products.
About Innovista Labs
Innovista Labs is the parent company of ThePrepLab and undertakes technology projects across different domains. ThePrepLab helps educators create and evaluate assessments, using AI to simplify question extraction, formatting, grading and OMR evaluation. We are building a small team to explore, validate and launch new products at Innovista Labs. You will work directly with the founder, with access to company equipment, AI subscriptions and infrastructure, to turn early ideas into working products.
Job type: Full-time
Preferred background: Independently built and launched mobile apps and new products
About The Role
Build and launch web products and mobile applications at Innovista Labs. You will independently own implementation and delivery with minimal input—from understanding the product brief and choosing a practical technical approach to development, deployment and ongoing improvements. You will work closely with the founder and an AI/product generalist, taking responsibility for the complete technical delivery of each product.
Key Responsibilities
Requirements
Strongly preferred
Candidates who share a mobile app and a deployed product they personally built, explain which parts they owned, and describe their deployment approach and use of AI tools will be strongly preferred. App-store links, repositories, demos or a short walkthrough are welcome.
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