Product Engineer Intern

Job Description

Swik AI is an early-stage AI company building intelligence infrastructure for commercial finance.

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We’re looking for a Product Engineer Intern to work closely with the founding team to understand real customer problems, figure out how to solve them, and build products that get used in production.

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This is a broad, hands-on role for someone who likes moving between product thinking and engineering rather than simply executing predefined tickets.

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What You'll Work On

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• Understand customer and product problems and help determine how to solve them
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• Build and ship features that will be used in production
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• Prototype new ideas quickly and turn promising ones into reliable product experiences
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• Work across product, engineering, AI, data, and integrations as needed
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• Occasionally join customer conversations to understand workflows and translate them into product
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• Help shape what we build and how we build it as the product evolves
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Who We're Looking For

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This could be a strong fit for a student or recent graduate from UNC, Duke, NC State, or another university in the Triangle who enjoys building technology and solving open-ended problems.

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We’re looking for someone who is:

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• A strong technical builder, even if you’re still developing depth in a particular area
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• Curious about the problem behind what you're building, not just the implementation
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• Comfortable figuring things out when the path isn’t clearly defined
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• Able to move from problem → approach → prototype → working product
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• High-agency, resourceful, and willing to learn quickly
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• Interested in startups, AI, product development, and building software that people actually use
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You do not need to know every technology we use. We care much more about how you think, what you’ve built, and how quickly you can learn.

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Why Join Swik

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You’ll work directly with the founders on real customer problems and ship code into a live product.

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You’ll get exposure to the full process of building an early-stage technology company — understanding a problem, talking with users, designing an approach, building it, putting it in customers’ hands, and learning from what happens next.

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This is an in-person opportunity in the Research Triangle area .

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