Job description
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.
