Staff Software Engineer - AI Platform (NYC)

Databricks•New York City, NY

15h

About The Position

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 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.

Requirements

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 (eg: 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
Proven experience building and shipping end-to-end generative AI products
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.

Responsibilities

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.

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