StyliticsST

AI/ LLM Data Engineer

Stylitics is an AI-powered visual merchandising and outfitting platform that helps retailers create personalized and inspirational shopping experiences to drive sales and brand loyalty.

Stylitics

Employee count: 51-200

Salary: 150k-180k USD

United States only

Who We Are

Stylitics is the leading visual outfitting and styling solution for the world’s top retailers and brands. Our clients include Nike, Macy’s, Revolve, Puma, Crate Barrel, Bloomingdale’s, and dozens of others. Founded in 2011, Stylitics uses a powerful combination of algorithms, trend data, and stylist expertise to deliver millions of on-brand outfit recommendations daily across multiple channels such as e-commerce, email, advertising, stores, and social media. About 100 million shoppers use Stylitics content and technology on retail sites each month to find inspiration, discover new products and brands, and gain confidence in how to style their purchases.

We are looking for a versatile and experienced AI / LLM Data Engineer to join our team and help shape the future of how Stylitics leverages large language models. In this role, you’ll combine your expertise in data science, software engineering, and prompt design to drive innovation in AI model based applications across our platform. You’ll work closely with cross-functional teams to prototype, test, and deploy LLM workflows that leverage internal and external models (primarily LLMs) to power intelligent automation and content generation at scale. This is a hands-on role with high visibility and the opportunity to influence the way we build, monitor, and evaluate next-generation AI systems. If you're excited about exploring the frontiers of generative AI and making a direct impact through production-level contributions, we’d love to meet you.

What you will do

  • Prompt engineering and testing with LLMs
  • Context engineering to determine the right data
  • Agentic workflow design
  • Help us build systems to easily monitor and test LLM performance
  • Contribute to production code (Clojure + Python)
  • Analyze large data sets
  • Build dashboards
  • Contribute as a thought leader to conversations around LLM usage
  • Develop internal tooling and software to support prompt reuse, versioning, and test case management

Qualifications

  • Very strong SQL
  • Experience contributing to production code
  • Experience building data visualizations
  • Experience with LLMs, testing, and prompt engineering
  • Proficiency with Python for experimentation and tooling
  • Solid understand of system design, use of APIs, and open source packages
  • Demonstrated ability to evaluate model performance using structured test cases and metrics
  • Comfortable collaborating cross-functionally with product, design, and engineering teams
  • Excellent communication skills, especially in explaining technical ideas to non-technical audiences

Great to haves:

  • Working experience with building test workflows for LLMs
    • Monitoring
    • Building/using test data sets for new model evaluation
  • Degree in Computer Science, Data Science, Statistics
  • Hands-on experience in computer vision, image processing, and/or NLP
  • Clojure experience (or willingness to learn!)

Salary

When we find the right person, we try to put our best foot forward with an offer that excites you and is fair on our end. We consider the skills and experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The compensation amount for this role is targeted at $150,000 - $180,000 USD annually. The final offer also takes into account other factors of a total compensation package, including what is market-based on the region. Please note that the range is being shared in good faith and is subject to modification based on changing market and business conditions.

Our Benefits Perks

  • Vision and dental insurance options that are fully covered by us
  • Medical plan coverage, with options that start at no cost to you
  • Competitive salary along with career planning for the future
  • For this role, stock options in a company that is growing rapidly and successfully
  • Commuter benefits program
  • Company matched 401k plan to help plan for your future
  • Generous paid time off policies
  • Work events - both virtual and in person
  • Access to ClassPass - a company paid benefit giving you access to numerous physical and mental well being needs
  • Working with fun, hardworking, nice people who are committed to making a difference

Our Values

Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.

  • We care deeply about delivering high quality work
  • We work to be the best partners possible
  • We get things done
  • We believe the right team matters most
  • We think like customers and act like owners
  • We relish being pioneers

Join Us

We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. Equal Employment Opportunity has been and will continue to be, a fundamental principle at Stylitics where employment is based upon personal capabilities and qualifications without discrimination because of race, religion, color, gender, national origin, age, citizenship, ancestry, marital status, sexual orientation, gender identity and expression, pregnancy and related medical conditions, veteran status, genetic information, disability or any other reason prohibited by federal, state or local law. This applies to all policies and employment practices relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 150k-180k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Stylitics

Learn more about Stylitics and their company culture.

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What began in 2011 as a vision to transform the digital shopping experience has evolved into Stylitics, a leading force in AI-powered visual merchandising and outfitting solutions. Initially launched as a B2C fashion app called ClosetSpace, the company quickly recognized a greater opportunity to serve retailers directly. This strategic pivot led to the development of a sophisticated SaaS platform designed to help top brands and retailers inspire online shoppers with personalized styling and outfit suggestions. Headquartered in New York City, Stylitics embarked on a journey to address a critical challenge for online retailers: how to replicate the inspiring, contextual, and personalized experience of in-store shopping in the digital realm.

Over the years, Stylitics has honed its technology, leveraging a powerful combination of artificial intelligence, machine learning, trend data, and stylist expertise. This innovative approach allows retailers to automatically generate thousands of on-brand, shoppable outfits and product bundles, significantly reducing the reliance on costly and time-consuming traditional photography and manual merchandising. The platform seamlessly integrates these visual experiences across various touchpoints, including e-commerce sites, mobile apps, email marketing, and in-store displays. The company's commitment to innovation and its proven ability to drive significant revenue growth for its partners—boasting billions of dollars in incremental revenue and increased average order values—has attracted major funding, including an $80 million Series C round in 2022. This financial backing is fueling further advancements in product development, particularly in AI and computer vision, as evidenced by the strategic acquisition of Wide Eyes, an advanced visual AI solutions company, in 2023. Today, Stylitics partners with hundreds of global retailers, reaching millions of shoppers each month and solidifying its position as a key player in shaping the future of inspirational commerce.

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Stylitics

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Stylitics hiring AI/ LLM Data Engineer • Remote (Work from Home) | Himalayas