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Staff Fullstack Software Engineer, Generative AI
Staff Fullstack Software Engineer, Generative AI
As a Staff Fullstack Software Engineer focusing on Generative AI, you will be one of the first engineers in Databricks' NYC office, building novel interfaces for GenAI agents and driving new product innovation from the ground up. This role involves hands-on full-stack development, partnering with cross-functional teams, and defining the strategy for scalable AI feature development in a 0-to-1 environment.
About the role
About the Role
As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.
The Impact You'll Have
- Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency.
- Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth.
- Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences.
- Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities.
- Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers.
- Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.
What We Look For
- 10+ years of experience with HTML, CSS, and JavaScript.
- Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
- You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app.
- High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
- Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 10+ years of experience with server-side web technologies (e.g., Node.js, Java, Python, Scala, C#, C++, Go).
- Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component.
- Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.