About Lily AI: 

Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem. Interoperable with leading eCommerce platforms, Lily AI maximizes existing tech investments to deliver upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, and higher customer conversion. Learn more at www.lily.ai.

Overview:

We are in search of a dynamic Full Stack Engineer with a flair for innovation. At the core of Lily AI’s mission, this role involves collaborating with cross-functional teams to tackle complex business challenges, propelling our mission forward. You’ll be at the heart of our efforts to automate content generation for eCommerce through generative AI. Collaborating with our design and product teams, you’ll help craft user interfaces that let customers view, interact with, and modify AI-generated content as per their requirements. You’ll also work closely with the ML engineers and scientists to help set up scalable and robust training pipelines, batch inference pipelines and real-time inference APIs. In essence, you won’t just be building software – you’ll be crafting the future of intelligent eCommerce, paving the way for a more interactive, personalized, and seamless shopping experience for all.

In this role, you will:

• Full Stack Development: Design, develop, and maintain scalable, high-performance web applications using React, Node.js, JavaScript, HTML, CSS, RDBMS, NoSQL and Python. This would involve applying standard engineering processes and practices such as CI/CD, IaC, authN/authZ, monitoring/logging, and cost control.
• Collaboration: Work closely with Domain Experts, Product team and ML scientists to understand their needs and translate them into effective software solutions. This would be mostly in the form of tooling with UI aspects to perform various business functions.
• UI/UX Optimization: Collaborate with designers to create user-friendly interfaces and ensure a smooth user experience.
• Library and Tool Development: Build and maintain libraries and tools that enable streamlined development including data preprocessing, ML model training, deployment and inference.
• Test Automation: Implement comprehensive test automation frameworks and scripts to ensure applications adhere to high-quality standards.
• Documentation: Document code, APIs, and processes to facilitate collaboration and knowledge sharing within the team.

What we consider critical for this role:

• 5+ years of relevant experience
• Proficiency in React, Node.js, JavaScript, HTML, and CSS.
• Strong problem-solving skills and the ability to work independently and in a team.
• Excellent communication and collaboration skills.
• Experience working in a startup environment or agile development.
• Design handoff using Figma/Sketch. Zepelin experience is nice to have.
• Exposure to Python based library development is an added advantage
• Familiarity with machine learning concepts and technologies is a plus.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

Alabama • Arizona • California • Florida • Georgia • Illinois • Indiana  Massachusetts • Minnesota • Nevada • New Jersey • New York • North Carolina • Rhode Island • Tennessee • Texas • Utah • Virginia • Washington

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $159,500-$197,500 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.