
11 - 50 employees
🌐 Web 3
🎮 Gaming
₿ Crypto
💰 $6.5M Seed Round on 2022-05
Web 3 • Gaming • Crypto
Saga. xyz is a comprehensive Web3 platform designed for developers, offering an integrated stack of advanced tools and support to help them realize their Web3 ambitions. As a Layer-1 protocol, Saga. xyz enables developers to automatically create dedicated chains with infinite horizontal scalability, known as 'Chainlets,' which are parallelized, VM-agnostic, and interoperable. This setup addresses issues such as scarce blockspace, high gas fees, and congestion inherent in monolithic Layer-1 blockchains, by providing a more seamless and scalable infrastructure. Saga also features a unique 'Unblock' manifesto, highlighting its mission to overcome current blockspace limitations and drive decentralized growth. Furthermore, the platform supports developer engagement with resources like the Pegasus Mainnet, airdrops, and a roadmap for ongoing development and expansion. The company is involved in advancing Web3 game development and adoption through strategic partnerships and community interactions.
🕒 March 24
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🌐 Web 3
🎮 Gaming
₿ Crypto
💰 $6.5M Seed Round on 2022-05
Web 3 • Gaming • Crypto
Saga. xyz is a comprehensive Web3 platform designed for developers, offering an integrated stack of advanced tools and support to help them realize their Web3 ambitions. As a Layer-1 protocol, Saga. xyz enables developers to automatically create dedicated chains with infinite horizontal scalability, known as 'Chainlets,' which are parallelized, VM-agnostic, and interoperable. This setup addresses issues such as scarce blockspace, high gas fees, and congestion inherent in monolithic Layer-1 blockchains, by providing a more seamless and scalable infrastructure. Saga also features a unique 'Unblock' manifesto, highlighting its mission to overcome current blockspace limitations and drive decentralized growth. Furthermore, the platform supports developer engagement with resources like the Pegasus Mainnet, airdrops, and a roadmap for ongoing development and expansion. The company is involved in advancing Web3 game development and adoption through strategic partnerships and community interactions.
• 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
• 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
• 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.
Apply Now🕒 March 24
AI Engineer collaborating with teams to enhance predictive models in healthcare payments. Requires deep learning experience and understanding of healthcare data, preferably based in Wisconsin.
Python
🕒 March 23
Applied AI Engineer responsible for identifying and delivering AI capabilities in a fintech and proptech context at Splitero. Collaborating across teams to automate workflows and enhance product efficiency.
🇺🇸 United States – Remote
💵 $135k - $175k / year
💰 $11.7M Series A on 2023-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
AWS
Cloud
JavaScript
Node.js
Postgres
Python
TypeScript
🕒 March 23
AI Engineer enhancing software development lifecycle by integrating AI technologies at Pierce Technology Corp. Collaborating with teams to drive efficiency and improve delivery timelines.
Python
PyTorch
SDLC
Tensorflow
🕒 March 21
AI Architect designing and implementing end-to-end architectures for AI/ML solutions at Cambium. Collaborates with engineering and product teams to ensure scalable and compliant AI projects.
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Spark
Tensorflow
🕒 March 21
GTM AI Engineer at AZX developing AI-powered infrastructure for strategic market engagement. Building and running systems for CRM, marketing automation, and sales enablement.