Saga.xyz

• Define relationship-first product strategy • Design how AI characters form and maintain ongoing relationships with users • Shape interaction models across social platforms (content, replies, DMs, presence) • Identify what drives retention, attachment, and repeat engagement • Translate relationship quality into measurable customer outcomes: engagement, community growth, user acquisition, conversions, revenue impact, and long-term fan value • Build AI-native character systems • Partner with engineering on agent architecture and iteration cycles • Define how characters evolve over time and across contexts • Drive product iteration & evaluation • Lead customer discovery and platformization

• Design, document, and implement quality backend architectures, services, and tooling that leverage the CosmosSDK / CometBFT technology stack • Develop high-quality, performant, modern, clean and readable code within tight deadlines • Work collaboratively with the engineering, design, and product teams, contributing ideas that add value to our product roadmap and company goals • Own the development and maintenance of the project from ideation to deployment

• Build and maintain the training and inference pipelines for character AI agents, including LLM/SLM orchestration and swarm-based architectures • Deploy and operate AI agents across social media platforms (Instagram, X, WhatsApp, TikTok) with consistent character behavior and personality coherence • Develop tooling for studios and creators to customize agent personality, lore, brand guidelines, and behavioral guardrails • Build and improve the feedback loops — fine-tuning, reward models, RLHF, and RLAIF — that keep agents improving over time • Architect and scale the infrastructure supporting agent deployments, including multi-modal capabilities (text, voice, video, livestreaming) • Contribute to the agentic commerce platform — enabling agents to drive transactions, recommend products, and interact with payment systems • Implement safety and content moderation systems to ensure agents behave appropriately across diverse user interactions • Collaborate with studio partners to translate creative direction into agent training parameters and behavioral specifications • Monitor agent performance, engagement metrics, and behavioral drift in production