5+ years of backend or ML engineering experience, with hands-on work deploying AI/ML models to production
Expertise in LLM fine-tuning and prompt engineering
Proficient in Python, with Golang experience a plus
Experience building and operating scalable API services and data pipelines
Familiarity with reinforcement learning techniques like RLHF or agent framework development
Understanding of multi-model architectures and distributed systems
Proven experience deploying applications with third-party integrations
Responsibilities
Build and maintain AI agent training and inference pipelines using LLM/SLM orchestration
Deploy and operate character AI across social media platforms ensuring personality coherence
Develop customization tools for studios and creators to shape agent behavior
Enhance feedback loops for continuous agent improvement via RLHF
Architect and scale infrastructure for multimodal agent capabilities
Contribute to the commerce platform facilitating agent-driven transactions
Implement safety systems for appropriate agent behavior across user interactions
Benefits
Remote work flexibility from anywhere in the world
Work at the forefront of AI, entertainment, and crypto
Flexible working hours
Generous vacation policy
Competitive salary and stock options
Comprehensive medical, dental, vision, and 401k benefits for US employees only
Full Job Description
The Role
As a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and operate character AI agents at scale. You'll work across the full lifecycle - from fine-tuning models and orchestrating SLM swarms to deploying agents across social platforms and building the infrastructure that keeps them running reliably. This role blends ML engineering, backend development, and systems thinking. The Work
Build and maintain the training and inference pipelines for character AI agents, including LLM/SLM orchestration and swarm-based architectures
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Deploy and operate AI agents across social media platforms (Instagram, X, WhatsApp, TikTok) with consistent character behavior and personality coherence
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Develop tooling for studios and creators to customize agent personality, lore, brand guidelines, and behavioral guardrails
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Build and improve the feedback loops - fine-tuning, reward models, RLHF, and RLAIF - that keep agents improving over time
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Architect and scale the infrastructure supporting agent deployments, including multi-modal capabilities (text, voice, video, livestreaming)
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Contribute to the agentic commerce platform - enabling agents to drive transactions, recommend products, and interact with payment systems
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Implement safety and content moderation systems to ensure agents behave appropriately across diverse user interactions
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Collaborate with studio partners to translate creative direction into agent training parameters and behavioral specifications
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Monitor agent performance, engagement metrics, and behavioral drift in production
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Must Have
5+ years of backend or ML engineering experience, with hands-on work deploying AI/ML models to production
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Experience with LLM fine-tuning, prompt engineering, and inference optimization
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Strong proficiency in Python; experience with Golang is a plus
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Experience building and operating API services and data pipelines at scale
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Familiarity with reinforcement learning techniques (RLHF, reward modeling) or agent framework development
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Understanding of multi-model architectures - orchestrating multiple models or agents to collaborate on tasks
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Experience deploying applications that integrate with third-party platforms and APIs (social media, messaging, commerce)
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Strong systems thinking - comfortable reasoning about distributed systems, scaling, and reliability
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Exceptional problem-solving and communication skills
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Nice to Have
Experience with character AI, conversational AI, or NPC behavior systems
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Background in gaming, entertainment, or media technology
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Experience with multi-modal AI (voice, image, video generation or processing)
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Familiarity with blockchain infrastructure, on-chain payments, or crypto-native commerce
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Experience with MCP (Model Context Protocol) or agent-to-agent communication protocols
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Understanding of content safety, trust & safety systems, or responsible AI practices
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Contributions to open-source AI/ML projects
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Benefits
Work remotely from anywhere in the world
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Work at the intersection of AI, entertainment, and crypto
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Flexible working hours
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Flexible vacation policy
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Competitive salary
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Stock options
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Full benefits*
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*Medical, Dental, Vision, and 401k retirement plans for US employees only.
