Prompt Engineer / LLM Application Developer

Prompt Engineer / LLM Application Developer Builds application-layer features on top of LLMs — prompt design, context management, and integration into product workflows — and is the role most directly tied to the AI-native delivery model Ziosk requires. Key

• Design, test, and iterate prompts and context strategies for production features • Build LLM-powered application features end-to-end (frontend to API) • Establish reusable prompt libraries and evaluation sets for regression testing • Actively use AI-native tooling (Cursor, Claude Code) as the default development workflow • Document prompt/version history for reproducibility and client transparency Required Skills & Experience • Strong applied experience with LLM APIs (Anthropic, OpenAI) and prompt/context engineering • Full-stack development (React/TypeScript + Node/Python) • Hands-on daily use of AI coding assistants (Cursor, Claude Code) • Experience with eval frameworks for LLM outputs Experience Level: 2–5 years, with recent hands-on LLM application delivery Nice to Have: Gaming/entertainment tech or POD-based delivery model experience. About […] […] is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are no