Systems Engineer (Urbit)

Stylitics
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
€ 180K

Job location

Remote

Tech stack

API
Artificial Intelligence
Computer Vision
Big Data
Clojure
Data Visualization
Python
Machine Learning
Open Source Technology
Software Engineering
SQL Databases
Test Case Design
Test Data
Management of Software Versions
Workflow Management Systems
Google Cloud Platform
Large Language Models
Prompt Engineering
Gitlab
GIT
Information Technology
Production Code

Job description

  • Google Cloud
  • Cloud Functions
  • Git & GitLab
  • Clojure
  • SQL
  • Python
  • ClojureScript
  • Machine Learning

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

Requirements

  • 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, * An academic degree in the relevant field is good to have

  • 5+ years of commercial experience

  • Corresponding level of skills: Clojure intermediate

  • Language skills: English intermediate

Benefits & conditions

$150K - 180K + Equity

Role type

Full time

Visa sponsorship

Not provided

Benefits & perks

  • Remote Working
  • Flexible Working
  • Paid time off
  • 401(K) Matching
  • Wellness allowance
  • Competitive Salary
  • Medical insurance
  • Stock Options
  • Commuter benefits
  • Paid medical, dental and vision premiums

About the company

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.

Apply for this position