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Remote Clojure AI / LLM Engineer - Stylitics

WorksHub

New York (NY)

Remote

USD 100,000 - 130,000

Full time

Today
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Job summary

A dynamic AI solutions company in New York is seeking an experienced AI / LLM Data Engineer. The ideal candidate will engage in prompt engineering, contribute production code, and work cross-functionally to innovate in AI model applications. Strong SQL and Python skills, alongside experience with LLMs, are essential for this hands-on role that influences the construction of next-gen AI systems.

Qualifications

  • Strong SQL skills are essential.
  • Experience with production code is required.
  • Building data visualizations is a significant aspect.
  • Familiarity with LLMs and prompt engineering is necessary.
  • Proficient in Python for experimentation and tooling.
  • Understanding system design and API usage is important.
  • Ability to evaluate model performance with structured metrics is essential.
  • Must be comfortable working cross-functionally.
  • Strong communication is key in explaining technical ideas.

Responsibilities

  • Engage in prompt engineering and testing with LLMs.
  • Determine the right data through context engineering.
  • Contribute to the design of agentic workflows.
  • Build and monitor LLM performance systems.
  • Contribute production code in Clojure and Python.
  • Analyze large data sets effectively.
  • Create and maintain dashboards.
  • Act as a thought leader in LLM usage discussions.
  • Develop tooling for prompt reuse and test case management.

Skills

Strong SQL
Production code contribution
Data visualization
LLMs and prompt engineering
Python for experimentation
System design and API usage
Model performance evaluation
Cross-functional collaboration
Communication skills

Education

Degree in Computer Science, Data Science, Statistics
Job description

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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