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.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Agentic AI - Remote. In this role, you will have a transformative impact on the organization's approach to AI, partnering directly with senior leaders to redefine the operational model. You'll guide the integration of autonomous tools and systems, driving innovation and enhancing team productivity. By reshaping workflows and processes, you'll enable a culture of adaptive learning that supports our partner's mission to revolutionize access to financial products through AI. This is an opportunity to significantly influence strategic direction and functional transformation for a global audience. - Design the future operating systems in collaboration with senior leadership. - Define the integration of autonomous tools and human judgment into decision-making. - Deliver technical projects that enhance team efficiency and capacity. - Prototype and validate process innovations with AI tools. - Transform proof-of-concept learnings into scalable frameworks. - Collaborate with data and engineering teams on infrastructure needs. - Advise leadership on aligning AI capabilities with business strategies. - Encourage a culture of innovation and responsible AI adoption. Qualifications - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Benefits - Virtual-first work environment with international collaboration. - Competitive compensation and equity options. - Flexible health plans and comprehensive subsidies. - Direct access to leadership and decision-making. - Paid global team meetups for enhanced team bonding. - Recognition of impact and opportunities for growth. Company Description

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Agentic AI - Remote. In this role, you will have a transformative impact on the organization's approach to AI, partnering directly with senior leaders to redefine the operational model. You'll guide the integration of autonomous tools and systems, driving innovation and enhancing team productivity. By reshaping workflows and processes, you'll enable a culture of adaptive learning that supports our partner's mission to revolutionize access to financial products through AI. This is an opportunity to significantly influence strategic direction and functional transformation for a global audience. Accountabilities - Design the future operating systems in collaboration with senior leadership. - Define the integration of autonomous tools and human judgment into decision-making. - Deliver technical projects that enhance team efficiency and capacity. - Prototype and validate process innovations with AI tools. - Transform proof-of-concept learnings into scalable frameworks. - Collaborate with data and engineering teams on infrastructure needs. - Advise leadership on aligning AI capabilities with business strategies. - Encourage a culture of innovation and responsible AI adoption. Qualifications - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Requirements - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Benefits - Virtual-first work environment with international collaboration. - Competitive compensation and equity options. - Flexible health plans and comprehensive subsidies. - Direct access to leadership and decision-making. - Paid global team meetups for enhanced team bonding. - Recognition of impact and opportunities for growth.

Join the team transforming 150+ software companies with AI ABOUT VALSOFT: Valsoft is a global firm that acquires and grows mission-critical vertical market software companies. Since 2015, we have built a portfolio of 150+ companies across 30+ industries, comprising 4,000+ employees in over 20 countries. We're building the infrastructure, tools, and talent to make every business in our portfolio AI-native. We're hiring across 150+ vertical market software businesses in the Valsoft portfolio. The right candidate will be matched to a specific business where they can have an outsized impact from day one and an opportunity to work across multiple businesses over time. THE OPPORTUNITY: Engineers at Valsoft go where the hardest problems are — embedded directly inside portfolio companies, working alongside operators, product teams, and customers to solve complex, messy, high-stakes challenges that can't be fixed from a distance. As an AI Automation Engineer, you'll be the person who figures out how to make a business run better end to end. The product, internal ops, customer experience, back office — if it's manual and repeatable, it's your target. You're not here to consult. You're here to build and ship. What you’ll do - Embed inside portfolio companies to audit their workflows across every department and identify automation opportunities - Translate messy, manual processes into clean, reliable automated systems — using AI, no-code, custom code, or whatever actually works - Interview stakeholders, map processes, and diagnose root causes before writing a line of code - Build and deploy automation across operations, sales, customer support, reporting, and internal tooling - Own the full delivery cycle: scoping, building, shipping, measuring, and iterating - Work directly with company leadership to prioritize what gets built and communicate ROI clearly - Operate across multiple portfolio companies over time, building a repeatable playbook for what works  What we’re looking for - Proven experience automating real business workflows — not just experiments, but things that shipped and stuck - Fluency across automation tooling: you know when to use Make, Zapier, n8n, custom code, or an AI agent — and you pick the right one - Strong technical foundation — you can build production-quality solutions, not just prototypes - Exceptional problem-framing skills: you ask the right questions before jumping to solutions - High comfort with ambiguity — you thrive when the brief is "this is costing us time but we don't know why" - Strong communicator — you can explain what you built, why it works, and what it's worth to non-technical leadership - Self-starter who moves fast and leaves systems better than you found them  What success looks like - Within 30 days: You've completed a full workflow audit and have a clear, prioritized automation roadmap - Within 90 days: At least two high-impact automations are live and driving measurable time or cost savings - Within 6 months: You're a trusted resource with a track record of shipped solutions and real outcomes - Long-term: You've built a repeatable playbook that defines how Valsoft operationalizes automation across its businesses — and you've got the metrics to prove it