Job description

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 Responsibilities • 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 ISHIR ISHIR 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 not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

Requirements

Must-haves

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.
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-haves

Nice to Have: Gaming/entertainment tech or POD-based delivery model experience.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmaiapireacttypescriptpythongo

Platform: breezy
Effort: medium