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HOLYWATER TECH

AI-powered storytelling platform and distribution

AI Product Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 3–4 years of experience as an engineer or developer.
  • Experience with TypeScript, Nest.js, and Next.js.
  • Experience with PostgreSQL, Redis, and Docker.
  • Understanding of observability.
  • Production experience with agentic AI architecture, including autonomous agents, hierarchical planning, multi-agent orchestration, dynamic workflows, tool execution, and persistent state using TypeScript and LangGraph.js or Mastra.
  • Experience with AI memory and knowledge architecture, including GraphRAG, vector databases, Neo4j, knowledge graphs, entity resolution, semantic search, and long-term agent memory.
  • Experience with multimodal generative AI, including orchestration of large language models, vision-language models, and video-generation models; automated quality evaluation; visual consistency; iterative regeneration; and human-in-the-loop architectures.
  • Experience implementing agentic AI systems, including multi-agent workflows, tool calling, MCP, retrieval-augmented generation, state and memory, structured outputs, evaluations, guardrails, and recovery.
  • Experience with generative video, including video-generation models or APIs, asynchronous media pipelines, FFmpeg, consistency, and automated quality control.

Responsibilities

  • Build agentic pipelines that turn an idea into a finished series episode without manual stages between scripting, generation, and editing.
  • Turn working prototypes, including minimum viable products and proofs of concept, into production-ready systems with web interfaces used by the whole team.
  • Design a unified knowledge base accessible to both people and agents to support collaboration across departments.
  • Integrate new generative video and text models into production on their release day.
  • Find and implement new agent-system architectures, including multi-agent workflows, tool calling, memory, guardrails, and self-recovery.
  • Analyze patterns in users’ requests to agents and automate common scenarios without human involvement.
  • Reduce time and manual editing at every stage of content production, from scripting through final editing.
  • Continuously monitor new generative AI models, techniques, and practices and rapidly adapt them for production.

Desired Qualifications

  • Python for AI/ML prototyping and working with models.
  • Fine-tuning, LoRA, and PyTorch.
  • GPU infrastructure and inference optimization.
  • Computer vision, lip-sync, and character consistency.
  • Knowledge graphs and hybrid retrieval-augmented generation.

About the Company

HOLYWATER TECH

AI-powered storytelling platform and distribution

HOLYWATER TECH operates a platform that blends human creativity with AI to create and publish books, audiobooks, interactive stories, and video series for creators and audiences. The product provides AI-powered tools for developing and refining content and a global distribution network that reaches millions, with monetization through fixed payments and royalties based on engagement, plus new interactive revenue streams like AI companions. It differentiates itself by combining AI-assisted production with broad distribution and fair compensation for creators, plus interactive audience features rather than offering only tools or limited reach. Its goal is to empower storytellers and readers, expand what storytelling can be, and provide fair earnings through scalable, global distribution.

Company size
201-500
Company stage
Series A
Total funding
$22M
Headquarters
Kyiv, Ukraine
Founded
2020

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