Java Software Engineer, AI Imaging (Backend)

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  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

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  8+ years of coding experience in Java. Proficient in SQL and relational DB technologies

• 2+ years in systems with a user interface, prefer javascript driven like React

• 1+ years of Spring Boot

• Demonstrated production use of AI in API calls or code assistance

• 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.

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  Experience at a high-growth start-up and comfortable with the unknown.

• Fashion or imaging process expertise

• Experience with Clojure

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  We care deeply about delivering high-quality work

• We work to be the best partners possible

• We get things done

• We believe the right team matters most

• We think like customers and act like owners

• We relish being pioneers

Details:

• CST hours

• Full time vacancy

• USD $5000-$10.000/month

• Long Term Contractor Role

Hiring Process

Our streamlined hiring process is designed to move quickly while giving you a fair opportunity to showcase your skills:

• Email Screening Form – Short questionnaire to confirm experience and role alignment.

• 15–20 Min Live Coding Challenge – Quick technical exercise focused on problem-solving and fundamentals.

• Cultural Fit Interview – Conversation about your experience, communication style, and team alignment.

• Final Technical Live Coding – Deeper practical exercise simulating real-world scenarios.