---
title: 'Senior AI Engineer at Saga'
canonical: 'https://feeny.ai/job/senior-ai-engineer-saga-los-altos-ed4rs234fama'
type: 'job'
last_seen: '2026-09-07'
---

# Senior AI Engineer at Saga

- **Company:** Saga
- **Location:** Los Altos, CA
- **Work type:** remote
- **Posted:** 2026-03-23
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/saga-xyz/6f4e2b80-c18f-4f62-b61b-da67d257b828

## Job description

Saga is building the infrastructure and products for the next generation of AI agents. Our AI Character Agent Network allows studios, creators, and publishers to turn their most iconic IP into living, breathing digital companions that engage fans across social media, drive organic user acquisition, and power a new kind of agentic commerce. Our agents run on a proprietary training architecture that combines LLMs and SLMs to produce fine-tuned character AI agents — autonomous enough to develop their own intelligence and personality, while guided by the creative vision of the original studios and creators. We've processed over 23 million transactions worth more than $2 billion since our early 2024 launch, and we're just getting started. Our team is world-class — veteran web3 entrepreneurs and builders from  Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint and Skuchain — and we're looking to grow as we scale our agent platform to more studios, more platforms, and more users. We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth.

## 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 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

## Benefits

Work remotely from anywhere in the world Work at the intersection of AI, entertainment, and crypto Flexible working hours Flexible vacation policy Competitive salary Stock options Full benefits* *Medical, Dental, Vision, and 401k retirement plans for US employees only.

## About Saga

## Company Overview
- **One-liner**: Saga builds infrastructure and AI agents that turn characters, brands, and worlds into persistent, autonomous digital participants for gaming, entertainment, and commerce.
- **Entity Type**: Private (early-stage; $17.5M total funding across pre-seed and multiple seed rounds)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2021 (based on pre-seed round date)
- **Founders**: Jin Kwon (CEO) and Bogdan Alexandrescu (CSO) per official site; also Kyle Walker (VP Engineering). *Note: LinkedIn company page lists Rebecca Liao as Co-Founder and CEO, and Jin Kwon as CSO – conflicting reports.*

## Core Business
- **Industry**: AI infrastructure, AI agents, gaming technology, digital IP commerce
- **Target Customers**: B2B – gaming studios, entertainment brands, publishers, creators, online communities, digital commerce platforms
- **Mission**: “Pioneering Synthetic Relationships” – enabling persistent AI characters that interact, adapt, and grow across the internet

## Products & Services
- **AI Character Agent Network**: A platform where studios and publishers deploy autonomous character AI agents that engage audiences on social media, messaging apps, and gaming environments. These agents maintain identity, memory, and conversational continuity over time. (SaaS / platform)
- **Agentic Commerce Platform**: Enables AI-driven transactions, product recommendations, and payment interactions on behalf of IP owners. (Platform / API)
- **Infrastructure & Training Pipeline**: Proprietary architecture combining LLMs and SLMs for fine-tuning character agents, including RLHF/RLAIF feedback loops and multi-modal capabilities (text, voice, video, livestreaming). (Infrastructure / tooling)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metrics**: $500K annual revenue (per business profile); $2 billion in aggregate transaction value processed since early 2024; over 23 million transactions processed
- **Notable Investors**: Ignite (pre-seed lead), Placeholder (seed lead), Maven 11 Capital (seed lead), plus 24+ other investors
- **Growth Signals**:
  - 6.2% year-over-year headcount growth (11 employees as of mid-2026)
  - Launched AI Character Agent Network in 2025, rapidly scaling deployments
  - Processing $2B in value across the network
  - Multiple open roles across engineering and product (Senior AI Engineer, Head of Product, Senior Platform Engineer)

## Competitive Advantages
- **Persistent Synthetic Relationships**: Agents that maintain coherent identity and memory across platforms, not just single-app chatbots.
- **Proprietary Multi-Model Orchestration**: Combines LLMs and SLMs with swarm-based architectures for cost-efficient, character-consistent behavior.
- **First-Mover in Agentic IP Commerce**: Bridges AI, gaming, and commerce in a way that is tailored for major IP owners.
- **Experienced Team**: Founders and engineers from Apple, X (Twitter), Robinhood, Samsung, NVIDIA, Tendermint, and Skuchain.

## Strategic Focus
- Scaling the AI agent platform to more studios, publishers, and platforms.
- Expanding the agentic commerce layer to enable autonomous transactions.
- Building tooling for creator customization of agent personality, lore, and behavioral guardrails.
- Deepening multi-modal capabilities (voice, video, livestreaming) for richer agent engagement.
- Growing the engineering team to support increased deployment velocity.

## Why Work Here
- **Remote-First Culture**: Work from anywhere in the world; flexible hours.
- **Impact at Intersection of AI, Entertainment, and Crypto**: Opportunity to shape the nascent field of synthetic relationships and agentic commerce.
- **Tight-Knit Team**: 11 people across 5 countries – high ownership and visibility.
- **Competitive Compensation**: Competitive salary, stock options, and benefits (medical, dental, vision, 401k for US employees).
- **Talent Pool**: Surrounded by veteran entrepreneurs and builders who have shipped consumer products at scale.
- **Open Roles**: Senior AI Engineer, Head of Product – AI Agent Commerce Platform, Senior Platform Engineer, Senior Protocol Engineer.

## Sources
1. [Saga About Page](https://www.saga.xyz/about)
2. [Saga Careers Page](https://www.saga.xyz/careers)
3. [LinkedIn Company Profile](https://www.linkedin.com/company/saga-xyz)
4. [Saga Senior AI Engineer Job Posting](https://jobs.lever.co/saga-xyz/6f4e2b80-c18f-4f62-b61b-da67d257b828)

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