Remote Clojure AI / LLM Engineer - Stylitics

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 understanding 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

To Apply
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