Senior AI Software Engineer
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Job Description
AI Software Engineer developing AI model-based applications across various retail use cases for Stylitics. Combine software engineering expertise and innovative AI solutions to build scalable systems.
Responsibilities:
- Write production-level code in TypeScript (with AI tools)
- Build full-stack prototypes, including front-end interfaces that demonstrate capability to stakeholders and clients
- Prompt engineering and testing with LLMs, including Claude, Gemini, and OpenAI models
- Context engineering to determine the right data to surface to LLMs and agents
- Agentic workflow design
- Help us build systems to easily monitor and test LLM performance
- Analyze large data sets
- Design and implement solutions for scale and maintainability across multiple clients
- Contribute as a thought leader to conversations around LLM usage, including challenging or proposing technical directions and identifying what to worry about (and what not to) early in a project
Requirements:
- Bachelor's Degree from an accredited college or university in Computer Science, Data Science, Statistics, or other related fields, or equivalent experience
- 7+ years of software development experience, including work within retail, e-commerce, or another applied AI/technology industry.
- Experience building AI or LLM-powered products is a bonus
- Confident communication (written and oral) skills and a demonstrated ability to work collaboratively with all levels of internal and external organizations.
- Strong asynchronous written communication is essential, Labs works across time zones and with small, distributed teams
- Strong problem-solving, attention to detail, organizational, and time management skills along with demonstrated strategic thinking abilities
- Working experience with modern prototyping stacks, specifically React, TypeScript, and SQL, sufficient to stand up a working UI backed by a real data model
- Experience with LLMs, testing, and prompt engineering, including work with Claude, Gemini, and OpenAI APIs
- Demonstrated affinity for and experience with agentic software engineering — either on the job or on your own time. We expect you to be enthusiastic about using AI coding tools in your day-to-day work
- Solid understanding of system design, scalability principles, use of APIs, and open-source packages
- Demonstrated ability to evaluate model performance using structured test cases and metrics
- Ability to operate independently with ambiguity in product definition
- Judgment to know when to trust an LLM's output and when to challenge it — a foundation of actual engineering knowledge and experience, not just the ability to look things up.
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