AI/ LLM Data Engineer
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
About the job
Apply for this position
AI/ LLM Data Engineer
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