Role Description Stylitics is growing a new product line leveraging AI Image generation with all the power of the existing outfitting knowledge. This role is a foundational part of a rapidly growing area with the opportunity to establish the foundations of workflows and delivery of AI content at scale. What You Will Do: - Write production-level code in Java (with AI tools) - Prompt engineering and testing with LLMs, including Claude, Gemini, and OpenAI models - Context engineering to determine the right data - Agentic workflow design - Help us build systems to easily monitor and test LLM performance - Design and implement solutions for scale and maintainability across multiple clients - Contribute as a thought leader to conversations around LLM usage Qualifications - 5+ years of coding experience in Java. Proficient in SQL and relational DB technologies - Understanding of Cloud Computing and distributed architecture with real experience deploying containerized applications - Confident communication (written and oral) skills and a demonstrated ability to work collaboratively with all levels of internal and external organizations - Strong problem-solving, attention to detail, organizational, and time management skills along with demonstrated strategic thinking abilities Requirements - Experience at a high-growth start-up and comfortable with the unknown - Fashion or imaging process expertise - Experience with Clojure Company Description Stylitics is a retail AI platform powering real-world, repeatable success for dozens of enterprise retailers. More than 100 million shoppers each month engage with our AI-driven outfitting, product discovery, and personalization experiences across e-commerce, apps, email, and stores. Retailers trust Stylitics to elevate customer experience, drive revenue, and bring proven AI use cases to life.

• Architect and build scalable microservices using .NET (C# / ASP.NET Core) • Own projects from technical design through deployment and iteration • Integrate with third-party APIs (OAuth, REST, webhooks, external data sources) • Design systems for: Data ingestion and normalization, Background processing and job orchestration, Analytics and reporting • Build resilient services with proper error handling, retries, and observability • Collaborate with product to refine requirements and shape technical solutions • Ensure high standards for code quality, performance, and maintainability

• Own product features end-to-end, from problem definition and architecture to deployment, monitoring, and continuous improvement • Build AI-driven product experiences and integrate modern AI tools into the engineering workflow • Collaborate cross-functionally with product, design, engineering, and business stakeholders to deliver impactful solutions • Contribute across the stack, including frontend, backend, APIs, integrations, and cloud-based services • Represent the company in technical and commercial discussions with clients, partners, and stakeholders • Drive technical discovery sessions, solution design, and architecture discussions • Mentor and upskill engineering teams on AI-assisted development practices and modern engineering workflows • Optimize applications for performance, scalability, maintainability, and user experience • Write clean, maintainable, well-tested, and well-documented code • Stay up to date with emerging technologies, AI trends, and modern software engineering practices

• Develop and maintain high-quality C# code across our microservices ecosystem • Implement complex business logic for a large company in the food industry • Manage your own priorities and performance to deliver high-quality, high-performance solutions • Document your work and contribute to continuous integration/continuous delivery (CI/CD) processes • Develop APIs to facilitate communication between our microservices • Implement messaging patterns for asynchronous communication between services • Integrate with external systems and databases while maintaining system integrity • Ensure proper error handling and resilience in service communications • Write comprehensive unit and integration tests for C# components • Conduct code reviews to maintain code quality and architectural integrity • Troubleshoot and resolve complex technical issues across the service ecosystem • Mentor junior developers in C# best practices and design patterns • Contribute to technical decision-making and architectural discussions