Full Stack Developer Intern (Unpaid/Remote)
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DigiNetics is seeking a highly motivated Full Stack Developer Intern to assist in the development and scaling of our causal AI and deep tech platforms. This is a remote position, with a preference for candidates currently residing in Florida.As we continue to push the boundaries of deterministic causal intelligence, we need an intern who is not only comfortable across the entire stack but also understands how to leverage and integrate AI tools to accelerate development and enhance system performance.-The Role:You will work directly with our engineering team to bridge the gap between complex backend logic and intuitive frontend interfaces. This is a hands-on role where your contributions will directly impact our production environment on AWS.-Key Responsibilities• Full Stack Support: Assist in building and maintaining scalable backend services and responsive, high-performance frontend components.• AI Integration: Utilize and integrate AI frameworks and tools to optimize workflows and enhance platform capabilities.• Collaboration: Participate in the full software development lifecycle, from initial concept and design to deployment and testing.• Problem Solving: Debug complex issues across the stack and propose efficient, "deep tech" oriented solutions.What We’re Looking For:• Technical Proficiency: Solid understanding of modern web technologies (e.g., JavaScript/TypeScript, React, Node.js, Python).• AI Savvy: Experience using AI tools (LLMs, coding assistants, or API integrations) to improve development efficiency.• Self-Starter: Ability to thrive in a fast-paced, startup environment with minimal supervision.• Location: Remote; however, candidates living in Florida are strongly preferred as we establish our physical presence in the region.What You’ll Gain:• Direct experience in a high-growth startup working on cutting-edge Causal AI.• Mentorship from a team dedicated to deterministic intelligence and deep tech innovation.• Exposure to AWS cloud infrastructure and enterprise-level scaling.