AI Agent Infrastructure Lead

Sphere develops AI-driven systems that help businesses navigate and comply with global trade laws. The core platform, TRAM, interprets regulations across more than 190 jurisdictions, enabling clients to stay compliant with speed and accuracy. Backed by a16z and Y Combinator, Sphere operates from its San Francisco headquarters. Role overview The AI Agent Infrastructure Lead guides the technical direction of Sphere’s AI agent infrastructure. This position sits within a small, collaborative team where each person’s contributions directly influence company growth. Sphere’s mission centers on automating compliance for global transactions, from calculation to remittance, to improve efficiency and market access. High reliability is essential, systems are engineered for zero downtime. What you will do Lead technical strategy and architecture for AI agent infrastructure Collaborate closely with a tight-knit team at the San Francisco HQ Ensure systems remain highly reliable and available Why Sphere? Tackle complex infrastructure challenges that affect real-world trade Make a direct impact on a product trusted in over 190 jurisdictions Work alongside a small, dedicated team shaping the company’s future Contribute to the evolution of compliance technology in a rapidly growing company

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

About Our TeamThe Agent Infrastructure team at OpenAI is dedicated to developing advanced systems that facilitate the training and deployment of innovative AI agents, both for internal use and global accessibility. We collaborate closely with researchers to architect and scale environments that empower agentic models, allowing them to execute code, troubleshoot issues, and evolve as software engineers do. Our training environment operates at an unprecedented scale, offering the flexibility to simulate any operational context an agent might encounter.In addition, we are responsible for the core platform that powers the deployment and execution of agents in production. Our infrastructure supports groundbreaking products like Codex, Operator, the tool functionalities in ChatGPT, and future agentic innovations.Our team tackles some of the most intricate challenges in scaling agent capabilities, focusing on the infrastructure layer to ensure that OpenAI can train the most advanced models globally while enhancing the utility of our agentic products for users everywhere.About Your RoleAs a Software Engineer on the Agent Infrastructure Team, you will engage directly with both research and product teams at OpenAI. Your role will involve constructing and scaling systems to train sophisticated agentic models and developing the necessary platforms and integrations to deploy new agents to millions of users worldwide.You will be responsible for building new capabilities—establishing the infrastructure and integrations required to train increasingly complex agentic models—and rapidly scaling these innovations across some of the largest computing clusters globally. Furthermore, you will play a pivotal role in launching agentic products by building, maintaining, and scaling the production platform that supports all agents.We seek individuals with extensive experience in AI infrastructure who excel in collaborating with researchers to create high-performance systems at massive scale for unique applications.This position is available in San Francisco, CA or New York City, NY. We employ a hybrid work model, requiring three days in the office each week, and we offer relocation assistance for new hires.

Who Are We?Postman is the premier API platform, empowering over 45 million developers and 500,000 organizations globally, including 98% of the Fortune 500. Our mission is to enable the creation of an API-first world by simplifying every phase of the API lifecycle and enhancing collaboration, allowing users to build superior APIs more efficiently.Headquartered in San Francisco, Postman also has offices in Boston, New York, Austin, Tokyo, London, and Bangalore, where we originated. As a privately held company, we are backed by prominent investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or engage with us on X via @getpostman.P.S: We encourage you to read The "API-First World" graphic novel to gain insight into our vision at Postman.The OpportunityAs the AI Agent Development Lead, you will spearhead the design, development, and deployment of cutting-edge AI agents that engage with users and complex environments. You will play a crucial role in shaping the architecture and execution of scalable, dependable AI systems, collaborating closely with research, product, and engineering teams to create safe, interpretable, and efficient AI technologies.What You’ll DoLead a diverse engineering team focused on AI agent development from initial design through to production deployment.Design and implement AI agent architectures utilizing cutting-edge language models and related technologies.Work alongside research scientists to conduct scalable experiments and translate research innovations into product features.Drive the evolution of agent capabilities, including dialogue management, decision-making, and autonomy.Ensure that AI safety and alignment principles are embedded throughout the agent lifecycle.Mentor and develop technical team members, fostering a culture of collaboration and innovation.Assess new tools, frameworks, and methodologies to enhance AI agent development.

Role Overview Hinge Health is hiring a Lead Product Manager to guide Agentic AI projects from our San Francisco headquarters. This position focuses on developing and launching AI solutions designed to improve patient engagement and outcomes. What You Will Do Drive the vision, strategy, and execution for Agentic AI products. Work closely with engineering, design, and other teams to build and deliver AI features that support patient needs. Shape the product roadmap, ensuring technology aligns with customer requirements. Lead collaboration across functions to bring innovative AI solutions to market. Location This role is based at Hinge Health headquarters in San Francisco.

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

Genesis Molecular AI is building the GEMS molecular AI platform, driving advances in foundation model training and industrial screening. Strategic partnerships and a strong compute infrastructure are central to the company’s growth and mission. Role Overview The Director of AI Infrastructure Partnerships will lead efforts to secure and manage critical technology alliances, investments, and compute resources. This leader will work closely with top AI organizations, hardware providers, and investors, including firms like a16z and NVIDIA, to support Genesis’s technical and business goals. The role is based in either New York City or the San Francisco Bay Area. What You Will Do Oversee partnerships with NVIDIA and identify new opportunities with leading AI organizations. Structure contracts, equity deals, technical collaborations, co-publications, and data-sharing agreements for both public and proprietary experimental and synthetic data. Create presentations and written materials that clearly communicate Genesis’s platform vision and technical strengths to partners and investors, and integrate these messages into broader external communications. Serve as the business lead and chief negotiator for major cloud computing and AI infrastructure deals. Secure high-performance compute at competitive rates and maintain strong relationships with key partners. Monitor the AI compute market, evaluating providers for cost, reliability, and availability to support research and deployment needs. Work with ML Engineering to forecast compute requirements for model training, synthetic data generation, fine-tuning, and large-scale inference. Optimize performance and budget across multiple cloud environments and track usage to maximize value. Manage the internal budgeting process for compute spend. Translate technical needs into financial forecasts and present capital allocation recommendations to company leadership. What We’re Looking For Significant experience in AI and cloud computing, including managing high-value negotiations and partnerships. Strong analytical and strategic skills, with the ability to assess market trends and make informed decisions. Excellent communication and interpersonal abilities, comfortable explaining complex topics to a range of audiences.

Join Klaviyo as a Senior Lead Solution Architect specializing in AI Agents, where you will leverage your expertise in artificial intelligence to design and implement innovative solutions that drive our business forward. You will collaborate with cross-functional teams to develop cutting-edge AI technologies that enhance customer engagement and streamline operations.

About Us:At novita-ai, we are a rapidly growing global provider of AI cloud infrastructure, leading the charge in the artificial intelligence revolution. Our innovative platform equips developers and enterprises with powerful, scalable, and user-friendly solutions such as Model APIs, GPU Instances, and Serverless Computing. As organizations around the globe strive to integrate AI into their offerings, we serve as the essential engine that fuels their innovative efforts.Join our world-class team and contribute to our expanding customer base. This unique opportunity allows you to be part of a dynamic company in a hyper-growth market, where your technical skills will directly impact customer success and drive our business forward.The Role:As a Solutions Engineer, you will act as the primary technical leader and trusted advisor for our clients throughout their journey. You will collaborate closely with the sales team to bridge the gap between complex customer challenges and our sophisticated technical solutions. Your mission is to build technical credibility, demonstrate the capabilities of our platform, and design tailored solutions that empower our clients to achieve their AI-related business objectives.What You'll Do:Technical Discovery & Solution Design: Collaborate with Account Executives to gain a deep understanding of customer needs, technical requirements, and business goals. Develop elegant and effective solutions utilizing our AI infrastructure stack (Model APIs, GPU Instances, Serverless).Product Demonstration & Proof of Concept (POC): Conduct engaging, customized product demonstrations and interactive workshops. Plan, manage, and execute successful POCs, showcasing the value and performance of our platform within the client’s environment.Technical Evangelism & Trusted Advisory: Communicate the value proposition of our platform to diverse audiences, including both technical and non-technical stakeholders, from engineers to C-level executives. Establish yourself as the go-to expert for customers on best practices in AI infrastructure.Sales Enablement & Market Feedback Loop: Create and maintain technical sales materials, including whitepapers, best practice guides, and demo scripts. Serve as the voice of the customer, relaying valuable feedback from the field to our Product and Engineering teams to influence our product roadmap.Onboarding & Implementation Guidance: Facilitate a seamless post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for sustained success.

Reflection AI builds open weight models for a wide range of users, including individuals, businesses, and governments. The team brings together talent from organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic, all working to advance open superintelligence. Role overview The AI Compute and Infrastructure Counsel acts as the main legal advisor to Reflection AI’s Strategy and Operations teams on complex infrastructure initiatives. Based in San Francisco, this attorney leads negotiations and manages agreements that support the company’s growing AI infrastructure. The work spans collaborations with hardware manufacturers, cloud capacity deals, and contracts related to data centers, utilities, and new facility builds. This position is designed for a commercial lawyer with experience at the intersection of advanced AI and infrastructure. The role provides autonomy, the opportunity to establish legal frameworks for a new function, and a direct impact on the company’s AI systems. What you will do Negotiate compute and cloud capacity agreements with hyperscalers, neoclouds, and new vendors, covering terms like capacity reservations, service-level commitments, portability, and exit rights. Manage hardware partnerships with vendors in chips, accelerators, servers, and networking. Oversee legal support for data center and AI facility projects, including master agreements for colocation and hosting, ground leases, build-to-suit leases, construction contracts, interconnection agreements, and power purchase agreements. Structure and negotiate power arrangements, such as power purchase agreements, tolling agreements, utility service contracts, behind-the-meter generation, and long-term energy deals. Lead legal work on strategic infrastructure transactions, including joint ventures, site acquisitions, and custom financing models for the AI factory roadmap. Develop scalable playbooks, templates, and delegation systems to help commercial and infrastructure teams operate efficiently and maintain high standards. Collaborate with Security, Privacy, and Policy teams on matters like tenant isolation, customer data handling, and sovereign compute requirements.

At Stuut, we are revolutionizing the accounts receivable landscape for B2B companies by streamlining collections processes to be smarter and more efficient. Our innovative platform has garnered attention from finance teams across various industries, including industrials, chemicals, and manufacturing, ranging from Fortune 10 giants to emerging mid-market players. We are proud to be supported by premier investors such as a16z, Khosla, Activant, 1984 Ventures, and Page One.About the RoleVoice telecommunications play a vital role in accounts receivable operations. Our customers initiate contact via phone, agents engage in calls, and effective transfers are crucial. We are developing AI-driven agents that actively contribute to collections, cash application, disputes, and customer communications, with voice being a key component of these interactions.We are seeking a Lead Voice Infrastructure Engineer to lay the groundwork for our AI-enhanced voice initiatives at Stuut. In this position, you will collaborate closely with our engineering, product, and go-to-market teams to design and maintain the telephony infrastructure that supports high-volume phone interactions. This role merges telephony infrastructure, real-time voice systems, AI voice agents, and finance workflows.The ideal candidate will possess deep expertise in telephony, be adept at constructing distributed systems that perform reliably under production loads, and recognize the significant impact of infrastructure decisions on product outcomes. You will oversee the systems that manage call connectivity, transfer effectiveness, and business outcome measurements. As the first dedicated voice infrastructure hire at Stuut, you will be instrumental in shaping our approach.

Join Us as a Full Stack Product Engineer - Agentic AIAt Vori, we are redefining the software development landscape. As we move towards a future powered by agentic systems—that design, generate, test, and deploy software continuously—we are on the cutting edge of technology. Our mission is to create a modern operating system for grocery that incorporates agentic infrastructure, transforming how retailers operate.The vision is ambitious: a self-driving store that utilizes AI agents to optimize pricing, inventory, merchandising, and operations seamlessly. To realize this vision, we are evolving from a company that simply delivers features to one that orchestrates intelligent agents to do so.Every engineer at Vori embodies the role of an AI Product Engineer, focusing on:Designing workflows for agentsBuilding systems of context and knowledgeCreating self-improving feedback loopsDeveloping products where AI is integralYou will collaborate across product, design, and infrastructure to transform innovative ideas into production-ready AI systems that retailers depend on daily.Key ResponsibilitiesYour role will involve:Designing and delivering agentic product systems beyond traditional software features.Working with product managers, designers, and clients to pinpoint areas where AI agents can enhance workflows.Architecting agent frameworks that integrate reasoning, planning, tool usage, and feedback mechanisms.Building foundational infrastructure for AI systems, including:Orchestration frameworksContext pipelinesEvaluation frameworksKnowledge systemsEvent-driven architecturesEngaging with the entire stack—from backend orchestration and data pipelines to user interfaces that make AI systems transparent and reliable.Rapidly prototyping, experimenting, and scaling promising ideas into production systems used by retailers.Integrating new AI capabilities and tools to enhance both product intelligence and engineering efficiency.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

Zyphra is a cutting-edge artificial intelligence company located in the heart of San Francisco, California.About the Position:As our Lead Frontend Engineer - Agentic Interfaces, you will spearhead the design and development of the user-facing elements of our agentic systems. Your expertise will shape the way users engage with AI technology across various platforms, including desktop applications and web browsers. You will collaborate closely with engineers, machine learning researchers, and backend teams to create user experiences that are not only functional but also intuitively accessible.Your Responsibilities Include:Crafting and developing user interfaces for both browser and desktop applicationsCreating and maintaining comprehensive component libraries and styling systemsAnalyzing user interactions and refining user flows based on feedback and usage dataPrototyping and implementing UI features in conjunction with machine learning and backend teamsSimplifying the complexities of AI products to ensure they are accessible and empowering for a diverse user baseQualifications:Proficient in frontend technologies, with a strong command of HTML, CSS, and JavaScript/TypeScriptHands-on experience with modern frameworks, particularly ReactA keen eye for UI detail and usability, maintaining a user-centric approachAbility to rapidly prototype and iterate designs using tools like FigmaExperience in designing responsive, accessible, and high-performance user interfacesStrong understanding of human-computer interaction principles, accessibility, and visual designExcellent communication and collaboration skills to work effectively with engineers, designers, and researchersPreferred Qualifications:Experience in designing or developing browser extensions or desktop applications (e.g., Electron, Tauri)Familiarity with mobile platforms and responsive design is a plusPrior involvement in products featuring complex workflows, automation, or agentic behaviorsInterest or experience in backend development, APIs, or AI systems

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates information from your email, calendar, and meetings. It captures every interaction, transforming it into organized context—managing accounts, tasks, follow-ups, and insights—so that nothing is overlooked.We are redefining CRM from the ground up. Rather than forcing teams into rigid frameworks, Lightfield adapts to the real working styles of companies, automating processes and revealing insights that drive growth. Our vision is to build the CRM platform that we always wanted: fast, intelligent, and genuinely supportive.Supported by prominent investors like Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool that has gained over 25 million users. Before Tome, many of us were part of the teams behind Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleLightfield is on the lookout for a proactive Infrastructure Tech Lead to help scale our platform during a period of rapid growth and increasing customer demand. Following our successful exit from private beta, we have witnessed strong adoption from hundreds of businesses joining weekly, including larger teams leveraging our product for mission-critical operations.As we scale our customer base and data volumes surpass initial expectations, our infrastructure is entering a new phase. This role will be pivotal in ensuring that our platform remains fast, reliable, and resilient as Lightfield advances into larger enterprise applications.This is not a position focused on building a team immediately; rather, it offers a high-impact chance for an experienced infrastructure engineer to dive in, tackle core scaling challenges, and help shape the foundational architecture of our system.Your ResponsibilitiesEnhance the reliability and performance of Lightfield's infrastructure as we accelerate customer growth.Lead initiatives to minimize database latency and optimize Postgres performance for high-volume workloads.Elevate operational maturity across the stack, focusing on observability, incident response, and production readiness.Develop scalable systems and infrastructure methodologies to accommodate larger clients and growing usage.Collaborate closely with product and engineering leadership to prioritize critical infrastructure tasks at every growth stage.Contribute to defining the long-term infrastructure roadmap, with the opportunity to influence future team structure and technical direction.

Role overview Baseten seeks an Infrastructure Finance Lead in San Francisco. This position focuses on designing and carrying out financial strategies that support the company’s infrastructure. The role requires frequent collaboration with teams across the business to strengthen financial results and guide planning. What you will do Develop and execute financial strategies for infrastructure projects Partner with teams from different functions to assess and improve financial performance Use analytical skills to inform strategic planning and allocate resources effectively Location This role is based in San Francisco.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full capabilities of the contact center. Our innovative platform integrates AI and human intelligence to facilitate the discovery of customer insights, optimize behavioral best practices, automate conversations and streamline inefficient processes, empowering every team member to enhance their productivity and effectiveness. Founded by visionary leaders from Stanford's AI lab, including co-founder Sebastian Thrun, the brain behind Google X and Waymo, our leadership team also features CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Our exceptional team consists of AI and ML experts, go-to-market leaders, and prominent investors such as Andreessen Horowitz, Greylock Partners, and Sequoia Capital, along with industry veterans like former AT&T CEO John Donovan. We proudly serve clients like Intuit, Cox Communications, Hilton, and Carmax and have been recognized by Forbes and Bain Consulting as one of the leading private AI companies worldwide.Embark on this exciting journey with us to redefine the workforce through AI. The future of work is now, and it’s happening at Cresta.

About UsZeta Global (NYSE: ZETA) is an innovative AI-driven Marketing Cloud that harnesses cutting-edge artificial intelligence (AI) and an immense array of consumer signals to streamline the process for marketers in acquiring, nurturing, and retaining customers more effectively. Our Zeta Marketing Platform (ZMP) aims to simplify complex marketing strategies by integrating identity, intelligence, and omnichannel activation into a unified platform—powered by one of the industry's largest proprietary databases and AI. Our enterprise clientele, spanning various sectors, can tailor consumer interactions on an individual basis across all channels, resulting in superior marketing outcomes. Founded in 2007 by David A. Steinberg and John Sculley, Zeta is headquartered in New York City with global offices. Discover more at www.zetaglobal.com.Role OverviewWe are seeking a proactive and skilled Agentic AI Engineer to develop bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This role transcends traditional linear model training and deployment, focusing instead on agentic decision-making, evaluation, and safety in a fast-paced AdTech environment.

Join Our Team as an AI Infrastructure EngineerAt Spellbrush, the premier generative AI studio behind niji・journey, we are in search of a talented AI Infrastructure Engineer to help us develop and enhance our end-to-end machine learning infrastructure, facilitating the operation of our models across a variety of platforms.Key Responsibilities:Design, implement, and maintain next-generation inference architecture to optimize the performance of our models across mobile, web, and other platforms.Collaborate with a dynamic team focused on creating cutting-edge image generation models that serve over 16 million users globally.Ideal Candidate Profile:Experience with Large Distributed Systems: You possess a strong background in working with modern technologies such as Kubernetes (K8S), Kafka, NATS, Redis, among others. Your hands-on experience spans both on-premises and multi-cloud environments, and you understand the intricacies and potential pitfalls of each system.Expertise in GPU Workloads: Your understanding of GPU processing for handling substantial workloads sets you apart. Having experience in deploying or optimizing GPU workloads end-to-end is a significant advantage.Passion for Anime Aesthetics: As avid anime enthusiasts, we value team members who share our passion for the anime aesthetic, contributing to a creative movement that engages millions.Team Player in Fast-Paced Environments: You thrive in small, agile teams and are eager to work alongside some of the world's top AI researchers, contributing to the best image models globally. We believe in the power of in-person collaboration, with opportunities at our offices in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.