Role Summary
Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.
Build and own Naphora’s AI and LLM prompt infrastructure across the entire game development pipeline.
Your objective is to
massively increase output, speed, and quality
across all departments by orchestrating the right LLMs, tools, and prompt systems at scale.
This role sits at the intersection of production, creativity, and execution, acting as a force multiplier for the entire studio.
Responsibilities:
LLM Experimentation & Orchestration
Continuously test, benchmark, and integrate new LLMs
Select the right model per department and use case
Design and run multi-model pipelines to maximize output and diversity
Manage tradeoffs between cost, performance, and reliability
Game Design & Development Support
Build prompt systems for game design (mechanics, economies, progression, balancing, level concepts)
Support narrative, quests, world-building, dialogue, and item systems
Assist engineering with documentation, system design drafts, and technical breakdowns
Accelerate prototyping and pre-production cycles
Art, UX & Production
Generate concepts for characters, environments, UI text, UX flows, and feature descriptions
Support production with GDDs, specs, Jira stories, sprint planning, and retrospectives
Reduce documentation and coordination friction across teams
UA, Marketing & LiveOps
Scale creative ideation for ads, playables, and campaigns
Support LiveOps planning, offer design, and content calendars
Enable rapid iteration across markets, audiences, and formats
Prompt Systems & Enablement
Build reusable, modular prompt frameworks across departments
Create and maintain a shared internal prompt library and best practices
Train teams to use AI effectively without slowing production
Ensure outputs meet Naphora’s quality bar
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What We Care About:
We care more about what you’ve built with AI than your title or background
Show us real work: projects, experiments, tools, workflows
GitHub, portfolio, demos, or anything hands-on is strongly preferred
Qualifications:
Strong hands-on experience with multiple LLMs and AI tooling
Proven ability to increase output across complex, cross-functional teams
Solid understanding of the game development pipeline
Comfortable working with designers, engineers, artists, producers, and marketers
Builder mindset with high ownership and autonomy
Pragmatic and execution-focused