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Full Stack Software Engineer at Unframe
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

JavaScript, Node.js, Vue, React, PostgreSQL, AI, LLM, B2B, Software Engineering, Product Mindset, Communication Skills, Ownership Mentality, UI/UX, Clean Code, Collaboration, Integration

Industry

technology;Information and Internet

Description
Job Summary At Unframe, you’ll build real, customer-facing AI applications - end to end. As a Full Stack Software Engineer, you’ll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. You’ll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution. Responsibilities Develop and deliver full-stack AI-powered applications on top of Unframe’s platform. Work closely with customers and internal teams to tailor solutions. Extend the platform and UI/UX layer as needed. Collaborate with platform and research teams to integrate AI capabilities into production use. Write clean, tested, and maintainable code. Requirements 5 + years of hands-on software-engineering experience. Proven record of shipping real user-facing products end-to-end. Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL. Strong communication skills and a product mindset. Ownership mentality - comfortable taking a feature from idea to production. Nice to Have Experience working with AI or LLM-based applications. Experience working with B2B or enterprise customers. If you’re a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact — we’d love to meet you.
Responsibilities
Develop and deliver full-stack AI-powered applications on Unframe’s platform. Collaborate with customers and internal teams to tailor solutions and integrate AI capabilities into production use.