Engineer, GenAI Applications

Polluxa, Inc.; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Polluxa, Inc. is building the NYC engineering team to deliver new GenAI-driven interfaces using Databricks. You’ll own full-stack development, from concept through launch, collaborating with product, design, and other engineers to craft scalable, user-friendly AI applications with strong UI/UX focus.

You will contribute to product-led growth through seamless onboarding and onboarding sharing features, while establishing best practices for AI product development across the team.

Qualifications

• 5+ years of experience with HTML, CSS, and JavaScript.
• Demonstrated product mindset with ability to translate ambiguous problems into MVPs and iterate quickly based on data and user feedback.
• AI product development experience with strong UI/UX focus.
• Strong ownership and bias for action in 0→1 environments; able to trade off pragmatically with incomplete information.

Responsibilities

• Create novel interfaces for GenAI agents that manage complex workflows with inspectability and transparency.
• Collaborate with product, design, and engineering to build scalable, intuitive solutions.
• Lead by example with hands-on full-stack development for dynamic, user-centric experiences.
• Enable product-led growth through onboarding and sharing capabilities.
• Shape the future of intuitive agentic applications with cross-functional teams.
• Establish best practices for AI product development within the team and broader Databricks.

Skills

HTML

CSS

JavaScript

Product mindset

Ownership

Cross-functional collaboration

Tools

React

Angular

Vue.js/Ember

Node.js

Java

Python

Scala

C#

C++

Go

Job description

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.
• Establish best practices within the team & Databricks more widely for building valuable, AI products.

What We Look For

• 5+ 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).
• 5+ 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.
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value.