Senior Software Engineer, AI Products

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Requirements:

• Have 5+ years of experience in full-stack, product-focused software engineering, with a proven track record of shipping impactful products to market.
• Bring 1+ years of hands-on experience building products that leverage AI/ML technologies to solve real-world problems.
• Are highly proficient in JavaScript and/or TypeScript.
• Have an intuition of AI/ML concepts and technologies, such as large language models, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Have experience measuring and improving the quality of large language model outputs through the use of techniques like prompt engineering and fine tuning.
• Have strong problem-solving skills, with the ability to debug production issues across multiple layers of the stack efficiently and effectively.
• Demonstrate exceptional organizational and communication skills, capable of breaking down complex technical ideas for both engineering and non-engineering audiences.
• Are passionate about delivering business value through fast iteration, with a bias toward shipping early and often.
• Take ownership of your work and are motivated by driving projects to impactful, measurable outcomes.
• Thrive in collaborative, cross-functional teams, and are excited to mentor and contribute to the team’s overall success.

Responsibilities:

• Stay up-to-date on AI/ML ecosystem advancements to assess their relevance to Webflow’s product strategy.
• Develop and integrate third-party AI APIs into the product's architecture.
• Be comfortable with making decisions with incomplete information and adjusting priorities as new insights emerge.
• Work closely with the product and design teams, owning and iterating on the solution together.
• Improve developer processes for building LLM-powered applications, helping to establish best practices in prompt engineering, experimentation, and quality assessments.
• Develop a deep understanding of our architecture and codebase while also learning about our product and the customers that use it.
• Work in an environment that fosters creativity, learning, and growth.
• Build and maintain tests and evaluation and monitoring of generative AI outputs.