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SagaSagaLos Altos, CA

Senior AI Engineer

Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.

Salary not listed
Remote5+ YOEML Engineering

About the role

The Work

  • 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

Must Have

  • 5+ years of backend or ML engineering experience, with hands-on work deploying AI/ML models to production
  • Experience with LLM fine-tuning, prompt engineering, and inference optimization
  • Strong proficiency in Python; experience with Golang is a plus
  • Experience building and operating API services and data pipelines at scale
  • Familiarity with reinforcement learning techniques (RLHF, reward modeling) or agent framework development
  • Understanding of multi-model architectures — orchestrating multiple models or agents to collaborate on tasks
  • Experience deploying applications that integrate with third-party platforms and APIs (social media, messaging, commerce)
  • Strong systems thinking — comfortable reasoning about distributed systems, scaling, and reliability
  • Exceptional problem-solving and communication skills

Nice to Have

  • Experience with character AI, conversational AI, or NPC behavior systems
  • Background in gaming, entertainment, or media technology
  • Experience with multi-modal AI (voice, image, video generation or processing)
  • Familiarity with blockchain infrastructure, on-chain payments, or crypto-native commerce
  • Experience with MCP (Model Context Protocol) or agent-to-agent communication protocols
  • Understanding of content safety, trust & safety systems, or responsible AI practices
  • Contributions to open-source AI/ML projects

Skills

PythonLlm Fine-TuningRLHFPrompt EngineeringData PipelinesApi ServicesGoDistributed SystemsMulti-Modal AiReinforcement Learning

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