Applied AI Solutions Architect at LlamaIndex | San Francisco

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

Join us at LlamaIndex, where we are redefining the narrative around document understanding in the AI landscape.About the RoleAs a key player in our growth, you'll help build the document infrastructure layer for AI agents, from our leading document OCR technology (LlamaParse) to our comprehensive document workflow platform (LlamaAgents). We are rapidly expanding and require a proactive recruiter who will take ownership of the entire hiring process across the organization.Your primary focus will be on technical roles, particularly in AI/ML engineering, infrastructure, full-stack development, and developer tools. Additionally, your expertise will be valuable in supporting go-to-market and marketing recruitment as the company scales. We seek an individual who thrives in the dynamic environment of sourcing, screening, and securing exceptional talent, rather than someone aiming for a purely strategic or managerial position. If you excel at utilizing AI-powered recruiting tools responsibly and can swiftly convert ambiguous hiring needs into signed offers, we want to hear from you!ResponsibilitiesTake charge of the complete recruitment lifecycle, including sourcing, outreach, screening, interview coordination, offer negotiations, and closing, with a primary focus on engineering roles and secondary support for marketing and GTM positions.Develop an in-depth understanding of LlamaIndex's products, technical infrastructure, and company culture to effectively evaluate candidate fit and maintain an accurate recruitment pipeline for both technical and non-technical roles.Identify and attract exceptional candidates for specialized roles through a combination of direct outreach, AI-driven sourcing tools (such as Juicebox and LinkedIn Recruiter), and innovative channels.Utilize AI recruiting tools judiciously and responsibly, dedicating time to fine-tune filters and meticulously review outputs to ensure quality over quantity.Foster and manage relationships with external recruiting agencies, adjusting agency support as necessary based on hiring pace.Enhance and continuously improve the candidate experience from initial contact through onboarding, ensuring every interaction embodies LlamaIndex's values and brand.Collaborate with hiring managers across engineering, product, and GTM to define role specifications, align on candidate profiles, and adapt swiftly as hiring priorities evolve.Monitor pipeline metrics, identify recruitment bottlenecks, and proactively refine sourcing strategies to achieve hiring objectives.QualificationsA strong candidate will possess a proven track record in technical recruiting, particularly within the AI and technology sectors, alongside excellent communication skills and a passion for connecting top talent with innovative opportunities.

Join our innovative team and play a pivotal role in shaping the future of AI by crafting compelling narratives in the realm of document understanding.About the RoleWe are on the lookout for a technically proficient Machine Learning Engineer who excels at producing authentic and engaging technical content efficiently. Your extensive knowledge in document AI, coupled with strong writing skills, will be essential in creating benchmarks, publishing technical analyses, and solidifying our position as the foremost authority in document understanding.This role transcends traditional Developer Relations or Marketing. You will engage in coding, develop tangible benchmarks, conduct experiments, and swiftly translate your findings into high-quality published content, significantly accelerating awareness and adoption among developers creating the next generation of document-centric applications.ResponsibilitiesDesign, construct, and sustain extensive benchmarks for document parsing and understanding.Regularly publish high-quality technical content, including blog posts, benchmark reports, technical comparisons, and tutorials.Maintain an up-to-date understanding of the document AI landscape, including new models, research papers, competitors, and techniques.Execute experiments and translate findings into publishable content rapidly.Generate technical analyses showcasing our capabilities relative to alternatives.Contribute to open-source projects, examples, notebooks, and documentation.Collaborate closely with the core ML team to highlight significant improvements and capabilities.Engage genuinely with the developer community through technical content rather than conferences or events.Required QualificationsProven experience in software engineering, with a focus on ML engineering and research being an advantage.Solid foundation in software engineering principles and production-level experience with Python.Familiarity with modern ML techniques, particularly in computer vision, natural language processing, or multimodal learning.Ability to convey complex technical topics clearly, rapidly, and authentically through writing.A strong inclination towards delivering results quickly, comfortable publishing at a blog pace rather than an academic one.Adept at reading, comprehending, and synthesizing research papers efficiently.Proactive and self-motivated, capable of identifying significant topics to write about and executing projects end-to-end.

Be a part of our journey to redefine the AI landscape by shaping the narrative around document understanding.About the RoleAt LlamaIndex, we are dedicated to transforming the way organizations leverage their knowledge through innovative AI-driven agents and tools that enhance enterprise knowledge workflows. As the Lead Product Manager, you will be instrumental in guiding the evolution of our products, ensuring they effectively address the needs of developers and enterprises alike.What We Are Looking ForIn-depth knowledge of developer tools and an understanding of developer challenges.Strong familiarity with AI and its applications in agent-based solutions.A customer-focused approach with a consultative mindset.Ability to navigate uncertainty and drive impactful results.A collaborative attitude and a passion for enabling others to succeed.ResponsibilitiesDrive Product Vision & Strategy: Define and implement the product roadmap for our key offerings, ensuring a balance between developer innovations and enterprise requirements.Lead End-to-End Execution: Manage product lifecycle from ideation to launch, rapidly iterating based on user feedback and analytics. This includes testing products personally and documenting processes as necessary.Engage with Users: Actively connect with developers and enterprise clients to identify challenges, collect feedback, and cultivate strong relationships.Define Success Metrics: Develop and monitor KPIs to assess the effectiveness of product launches and ongoing performance.Collaborate Across Teams: Work closely with engineering, design, and marketing teams to align objectives, ensure smooth delivery, and maximize product impact.Act as a Domain Expert: Build expertise in AI-driven solutions and customer workflows to inform strategic product decisions.Evangelize the Product: Represent LlamaIndex at industry conferences, webinars, and community events, showcasing our technology and gathering valuable insights.QualificationsExperienced Leader: A minimum of 4 years in product management, specifically with developer-facing tools or enterprise SaaS products.Technical Aptitude: Strong technical background with the ability to engage deeply with engineering teams.

Join us in revolutionizing the AI landscape by driving advancements in document understanding.About the RoleThe backend application platform team at LlamaIndex is on the lookout for a seasoned backend engineer with over 4 years of experience. If you’re passionate about developing cutting-edge features and expanding our ingestion and AI systems, we want you! Backed by Greylock, LlamaIndex has seen remarkable growth over the past year, fueled by both open-source and enterprise interest. Our positions provide excellent opportunities for personal growth and ownership as we scale our engineering team to support our next growth phase!Responsibilities[Primary] Develop and enhance new features while scaling our backend capabilities, with a specific focus on our core APIs.Backend technology stack includes: Python, Node.js, Kubernetes, Terraform, Postgres, Temporal, and more.[Secondary] Collaborate closely with prospects and customers to create production-ready solutions.QualificationsProven experience in launching new product features from the ground up, successfully transitioning from prototype to production in a short timeframe.Experience with or enthusiasm for AI/LLM-native applications.Rapidly iterated with customers or fellow engineers to transform user feedback into actionable features, actively contributing to the product roadmap for core functionalities.Experience in deploying applications at scale.LocationWe embrace a hybrid work culture based out of our downtown San Francisco office.Why Join Us?Impactful Mission: Work on groundbreaking AI products that redefine knowledge access and utilization.Collaborative Team: Join a passionate team dedicated to pushing technological boundaries.Growth Opportunities: Be at the forefront of the AI revolution, with numerous opportunities to advance alongside our expanding organization.Additional BenefitsCompetitive base salary and equity compensation.Comprehensive medical, dental, and vision insurance for you and your family.

Be a pivotal force in the evolution of AI by crafting the narrative around document comprehension.About the RoleWe are on the lookout for a dynamic Mid-Market Sales Manager or Director to spearhead our mid-market revenue initiatives. In this influential role, you will serve as a player-coach, guiding a team of Account Executives and Business Development Representatives (BDRs) in promoting LlamaIndex to fast-growing businesses. You will take charge of pipeline generation, deal execution, and team development, establishing a high-performance culture and building systems that transform individual contributors into a well-oiled revenue-generating machine.ResponsibilitiesRecruit, onboard, and nurture a team of 5–6 mid-market AEs and BDRs.Drive team pipeline goals, forecast accuracy, and Annual Recurring Revenue (ARR) achievement.Conduct structured deal reviews, coaching reps through discovery, qualification, and closing processes.Develop and maintain a robust outbound engine utilizing OSS community indicators, Ideal Customer Profile (ICP) segmentation, and BDR-AE collaboration.Lead a weekly operational rhythm including pipeline reviews, one-on-ones, call coaching, and forecasting discussions.Participate actively in live deals as a player-coach to unblock opportunities and enhance closing rates.Collaborate with product and engineering teams to translate technical advantages into compelling messaging for sales representatives.Provide well-structured market and customer insights to inform product development and go-to-market strategies.Represent LlamaIndex at industry events, enhancing our visibility within the developer and AI ecosystems.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

Join us in revolutionizing the landscape of AI by crafting compelling narratives around document understanding.About the RoleWe are on the lookout for a dynamic Mid-Market Account Executive to spearhead the entire sales cycle for businesses with fewer than 500 employees that are integrating our cutting-edge AI platform. Your mission will be to identify, cultivate, and finalize partnerships with both technical and business decision-makers in rapidly-growing companies, transforming inbound inquiries, OSS community insights, and proactive outreach into new Annual Recurring Revenue (ARR). You will collaborate closely with your manager and a diverse team to streamline sales processes and build our mid-market approach from the ground up.ResponsibilitiesLead the complete sales process — from prospecting to closing — for accounts with fewer than 500 employees.Proactively create and nurture your pipeline through outbound outreach, OSS community engagements, and partner referrals.Conduct structured discovery sessions to identify technical needs, business challenges, and decision-making criteria.Manage complex deals involving multiple stakeholders, including technical evaluators, economic buyers, and end-users.Partner with Solutions Engineers and Forward Deployed Engineers to execute focused Proofs of Concept (POCs) aligned with clear success metrics.Achieve or surpass ARR and pipeline goals consistently.Maintain thorough CRM records and provide reliable weekly forecasts.Share customer and market insights to shape messaging, product packaging, and the overall product roadmap.Represent LlamaIndex at industry events and within developer communities where potential clients engage.Required Qualifications2–5 years of experience in full-cycle SaaS sales with a proven record of meeting quotas.Demonstrated capability to independently source and develop a sales pipeline.Experience in selling to technical buyers such as engineers, data teams, or developers.Ability to navigate fast-paced decision-making environments with minimal procurement processes.Familiarity with deal qualification frameworks (MEDDIC or similar) and value-based selling techniques.Startup experience preferred: Comfortable with minimal processes, creating your own strategies, and excelling in resource-constrained settings.

Join Anthropic as a Solutions Architect specializing in Applied AI, focusing on state and local government initiatives. You will leverage cutting-edge AI technologies to develop innovative solutions that enhance public services. Collaborate with government agencies to identify challenges and implement effective AI strategies that improve efficiency and accessibility.

Join us in revolutionizing the future of AI by shaping the narrative around document understanding.About the RoleWe are seeking an innovative Full-Stack Engineer dedicated to rapidly delivering AI products. If you thrive in a dynamic environment and are ready to take on diverse challenges, this role is for you. You will be responsible for developing our SaaS platform using Next.js and Python, contributing to open-source frameworks, and collaborating closely with customers to transform visionary ideas into tangible solutions. If you have experience launching AI applications that engage real users and can swiftly transition from concept to execution, we would love to connect.ResponsibilitiesLead front-end and full-stack development for our managed applications and SaaS offerings.Front-end technologies: Next.js, shadcn, react-query, etc.Back-end technologies: Python, Node.js, Kubernetes, Docker, Terraform, cloud services, databases, etc.Develop and maintain features for our open-source frameworks using Python and TypeScript.Collaborate with clients to create proof-of-concept and production-ready solutions.QualificationsMinimum 2 years of experience in full-stack development.Proven track record of launching web applications or new product features from the ground up, successfully moving from prototype to production.Experience in deploying AI/LLM-native applications, encompassing both user experience and core algorithm development.Rapidly iterate on solutions based on customer feedback, driving feature development and engaging in proactive user discovery.Experience in cross-functional teamwork, exemplifying the ability to take on product management responsibilities to scope and design features effectively.Demonstrated ability to scale applications to millions of users.Preferred: Background in machine learning and natural language processing.LocationWe foster a hybrid-friendly culture with our primary operations based in downtown San Francisco.Why Join Us?Meaningful Impact: Contribute to cutting-edge AI products that transform knowledge accessibility.Supportive Environment: Collaborate with a team of dedicated professionals who are passionate about innovation.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

About Us:Modal is at the forefront of AI infrastructure. We provide seamless access to GPUs, quick container startups, and integrated storage solutions, simplifying the process of model training, batch job execution, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototypes to full-scale production without the complexities of infrastructure management.Our rapidly expanding team operates out of NYC, San Francisco, and Stockholm. With a remarkable 9-figure annual recurring revenue (ARR), we recently achieved a valuation of $1.1 billion after our successful Series B funding round. Thousands of customers, including Lovable, Scale AI, Substack, and Suno, depend on us for their AI workload needs.Joining Modal means becoming part of a dynamic, rapidly growing AI infrastructure company with substantial opportunities for personal and professional advancement. Our team comprises creators of well-known open-source projects (e.g., Seaborn, Luigi), academic researchers, international competition medalists, and seasoned engineering and product leaders with extensive experience.The Role:We are seeking a strategic Solutions Architect to influence technical strategies across our key enterprise accounts.In this position, you will serve as the technical partner to Enterprise Account Executives, managing intricate evaluations, developing infrastructure modernization strategies, and promoting multi-product adoption across AI and ML applications.This is a strategic, consultative role that demands a robust architectural background, a strong executive presence, and the ability to impact major infrastructure decisions worth millions. You will collaborate directly with CTOs, VPs of Engineering, and leaders of ML platforms to redefine the construction and operation of AI infrastructure.If you excel in fast-paced technical sales contexts and are eager to shape the infrastructure that drives modern AI innovations, we would love to hear from you.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About Deepgram Deepgram builds real-time APIs for speech-to-text (STT) and text-to-speech (TTS), serving over 200,000 developers and 1,300 organizations. Companies like Twilio and Cloudflare use Deepgram’s scalable, precise voice AI technology to power their products. Role Overview: Solutions Architect The Solutions Architect joins Deepgram’s Applied Engineering team in San Francisco. This role focuses on working closely with clients, solving technical challenges, and developing scalable solutions to strengthen Deepgram’s support infrastructure. What You Will Do Lead customer engagements after the sale, ensuring smooth technical integration and support. Assist with pre-sales and implementation projects as needed. Resolve complex technical issues for clients, drawing on engineering expertise. Develop repeatable solutions and contribute to automation that frees the team to focus on high-impact pre-sales work. How Deepgram Works The team values an AI-first approach, encouraging experimentation with advanced AI tools in daily work. Deepgram supports a culture of innovation and adaptability. Location This position is based in San Francisco, CA.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

About the RoleThorin is actively seeking a talented Applied AI Engineer to join our dynamic team in San Francisco. As a pivotal member of our engineering group, you will play a crucial role in laying the groundwork for our user-centric products. This position is perfect for full-stack developers who are enthusiastic about taking ownership of features from inception to deployment, delivering high-quality results swiftly.You will have the opportunity to engage with our technology stack comprehensively, developing everything from intuitive frontend interfaces to robust backend processes.This role emphasizes autonomy and responsibility, allowing you to make a significant impact on our innovative projects.Your ResponsibilitiesDevelop and launch key product features from initial concept through to production readiness.Oversee both frontend and backend development across essential workflows.Establish performance and quality standards for our high-achieving engineering team.Influence product strategy through regular feedback from users and stakeholders.Rapidly innovate within a startup environment, contributing to our zero-to-one initiatives.

About RiveRive empowers designers, animators, and developers to craft interactive experiences seamlessly. Our platform combines design, animation, and coding in a single environment, ensuring what you create in the editor is precisely what gets deployed in your app, game, or website. Forget mockups, prototypes, or tedious handoffs — experience the real deal.Leading companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers utilize our open-source runtimes to create once and deploy everywhere — across websites, applications, games, and vehicles.At Rive, we break down silos, allowing designers and developers to collaborate using the same powerful tools. What you see in the editor is what you get in production.Our Perspective on AIWhile many AI tools aim to democratize artistry, our vision is to empower artists to reach their full potential.At Rive, our AI solutions don’t replace artists; they enhance their capabilities, enabling them to create custom particle systems, cloners, path effects, data connections, physics systems, and even complete games. Our focus is on eliminating barriers that restrict creativity, allowing artists to transform their visions into tangible results.We are developing a professional-grade tool tailored for designers, animators, and developers. Our goal is to elevate creativity, pushing the boundaries of what is possible.If this resonates with you, we encourage you to continue reading.The RoleWe are in search of an Applied AI Engineer to spearhead the integration and advancement of AI features within Rive's editor. Reporting directly to the CEO and CTO, your role will encompass two primary objectives:1. Enhance Rive's AI agent for designers, animators, and developers. We have developed an AI agent that assists in script writing, tool creation (including particle systems, cloners, path effects, and physics systems), data connections, and game development—all within the editor. Your mission is to refine this tool, making it more efficient and intelligent.2. Innovate AI applications within the editor. The AI landscape is rapidly evolving, with new models emerging weekly. In this position, you will be the driving force behind understanding these advancements, assessing their implications for Rive, and prototyping their potential integration into our editor. While not all ideas will come to fruition, you will constantly be exploring possibilities.Why This Role MattersRive operates at the unique intersection of design, animation, and programming. Most AI tools tend to focus on one aspect. We are seeking someone capable of navigating all three areas and identifying how AI can enhance each discipline without compromising craftsmanship.This role is dedicated and full-time; we firmly believe that AI will revolutionize the creation of interactive experiences, and we want a committed individual leading Rive in this transformation.What You'll DoDevelop innovative AI-driven workflows tailored for designers, animators, and developers within the Rive Editor.Refine the AI agent’s capabilities for writing Rive scripts (Luau), building state machines, and more.

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.