Senior Backend Software Engineer at Read AI | Seattle

Join HackerOne, a global frontrunner in Continuous Threat Exposure Management (CTEM), where we merge advanced AI technology with the talent of the world's largest network of security researchers. Our cutting-edge platform aids organizations in the continuous discovery, validation, prioritization, and remediation of vulnerabilities across code, cloud, and AI systems. With solutions such as bug bounty programs, vulnerability disclosures, agentic pentesting, AI red teaming, and code security, we empower enterprises to achieve a measurable and ongoing reduction in cyber risk. Recognized by industry giants like Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, and government entities like the UK Ministry of Defence and the U.S. Department of Defense, HackerOne is trusted to protect digital ecosystems. Our commitment to innovation has been acknowledged in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report, and we’ve been honored as a Most Loved Workplace for Young Professionals (2024).As we stand at a crucial juncture in the security landscape, offensive security has become a necessity for progressive companies aiming to build trust and resilience in an era where AI-driven advancements and adversaries are evolving rapidly. HackerOne distinguishes itself by combining the brilliance of the largest security research community with an exceptional AI-enhanced platform, earning the confidence of the world’s leading organizations.Our ValuesAt HackerOne, we are committed to nurturing a robust and inclusive culture. Our customer-centric approach drives our decisions and actions, as we are Customer Obsessed and prioritize customer outcomes. We practice Default to Disclosure, emphasizing transparency and integrity to foster trust and accountability. Together, we Win Together by promoting empowerment, inclusion, respect, and accountability across our team, researchers, customers, and partners.Senior Software Engineer, Applied AILocation: Seattle, WA; Austin, TX.Work Schedule: 1 Day Onsite WeeklyPosition OverviewAs a Senior Software Engineer on our AI Platform team, you will play a pivotal role in transforming offensive security through the integration of human and artificial intelligence, thereby creating a safer internet. Your contributions will directly impact the development of our next-generation AI security capabilities, particularly our in-platform AI security agent, Hai. You will be responsible for developing AI-driven features that optimize vulnerability discovery, enhance remediation processes, and much more.

Join Aircall, a leading unicorn in AI-powered customer communication solutions, trusted by over 22,000 businesses globally to enhance revenue, accelerate issue resolution, and scale customer-facing teams. We are revolutionizing customer interactions by integrating voice, SMS, WhatsApp, and AI into a unified platform.Our growth is driven by a core principle: empower teams to work smarter, not harder. With innovations like our AI Voice Agent for automating routine calls, AI Assist for optimizing post-call tasks, and AI Assist Pro for providing real-time support, we enable teams to achieve higher revenue and faster resolutions confidently.Headquartered in Paris, with a strong North American hub in Seattle, Aircall also has teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We have developed a beloved product and a high-growth business, supported by top-tier investors and driven by rapid advancements in AI across various product lines.At Aircall, you'll be part of a dynamic and ambitious organization. We prioritize product excellence and execution, allowing for quick decision-making and significant impact.Our Work Culture: We are deeply customer-focused, data-informed, and committed to delivering valuable results. We value ownership, continuous learning, and thoughtful agility. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you're in the right place.We are seeking a Senior Software Engineer to develop intelligent systems that automate workflows across various internal departments at Aircall. This position merges advanced software engineering expertise with a passion for understanding and automating the workflows of stakeholders in Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product, and other functional areas utilizing AI agents. Ideal candidates should possess curiosity, an affinity for solving complex challenges, and practical experience deploying LLMs in production.

Join our dynamic team as a Software Engineer specializing in Applied AI at HackerOne, where innovation meets security. You will play a crucial role in developing and implementing cutting-edge AI solutions that enhance our platform's capabilities, providing our clients with unparalleled security insights and protection. As part of our collaborative environment, you'll work closely with cross-functional teams to drive AI initiatives from concept to deployment, ensuring the highest standards of quality and performance.

Role Overview Axon is looking for a Senior Software Engineer I focused on Applied AI to help build solutions that improve public safety. This role works closely with engineers and data scientists to develop technologies that use artificial intelligence for law enforcement use cases.

Join HackerOne as a Staff Software Engineer, Applied AI, and be at the forefront of innovative technology solutions that enhance security through artificial intelligence. In this role, you will lead projects that leverage cutting-edge AI techniques to address complex security challenges, driving the development of scalable and effective software solutions.

Join Our Team as a Senior Software Engineer (Applied AI)In the pivotal role of Senior Software Engineer (Applied AI) at Pearl Health, you will be instrumental in developing the AI-driven intelligence layer for our innovative platform. Your expertise will be key in designing and deploying Applied AI functionalities such as RAG pipelines, Agentic workflows, and LLM integrations, all while ensuring a robust, scalable production environment. If you are driven by the desire to transform groundbreaking AI technology into impactful solutions that enhance health outcomes for countless providers and their patients, this position is tailored for you.About Pearl HealthAt Pearl Health, we are committed to supporting primary care providers, health systems, and physician-led networks in navigating the transition to value-based care. Our platform equips practices with cutting-edge technology, financial tools, and expert services, empowering them to deliver proactive and effective care to Medicare patients, ultimately leading to reduced costs and improved health outcomes.Established in 2020, our team consists of healthcare and technology pioneers, backed by esteemed investors including Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We collaborate with thousands of providers across 44 states to forge a sustainable future for American healthcare.Your ResponsibilitiesApplied AI & Full-Stack DevelopmentDesign, develop, and maintain production-level AI features powered by Large Language Models (LLMs), including RAG architectures and Agentic workflows.Create high-performance data pipelines, APIs, and microservices that efficiently handle healthcare data at scale, ensuring secure integration of LLM outputs into user-facing applications.Conduct Proof-of-Concepts (POCs) and technical assessments of emerging AI technologies to evaluate their viability and scalability for our products.Develop responsive web applications using contemporary frontend frameworks to provide users with intuitive intelligence and analytics features.Ensure observability and operational excellence for AI services, advocating for security and compliance with regulations such as HIPAA and SOC2.Technical Leadership & CollaborationLead architectural decisions and system optimizations for AI functionalities in collaboration with product and engineering teams.Take ownership of technical projects from conception to deployment, ensuring alignment with business objectives and long-term scalability.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

About Read AI:At Read AI, we’re transforming team collaboration by infusing intelligence into every conversation. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be executed more efficiently and with an enhanced focus. We seamlessly integrate with various tools such as Zoom, Microsoft Teams, Google Meet, Slack, and more, ensuring teams remain synchronized and progressive, whether they are co-located or distributed across different time zones.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on a growth trajectory. If you are passionate about shaping the future of AI-driven collaboration and wish to make a significant impact in a product-focused startup, we would love to connect with you.The Role:As a Senior Software Engineer specializing in Frontend at Read AI, your work will directly influence how users engage with our platform. This pivotal role is essential for enhancing the user experience at Read through impactful features and improvements. Utilizing Typescript and React, you will contribute to our reporting application, billing system, and native note-taking apps (Zoom, Meet, and Teams), as well as Read’s browser extensions.In this position, you will play a key role in both developing new features and guiding the direction of our product roadmap.Responsibilities:Translate product specifications and visual designs from Figma into new features.Work collaboratively with cross-functional teams to design and implement scalable, maintainable APIs.Design and develop responsive, accessible user interfaces that function seamlessly on various devices and browsers.Advocate for and implement best practices in frontend development, focusing on code quality, testing, and performance optimization.Offer insightful feedback to the product team throughout the development lifecycle.Take ownership of specific product workstreams, driving them forward to make a notable impact on Read's future.Requirements:Bachelor's degree or higher in Computer Science/Engineering (preferred) with 5-7+ years of relevant industry experience.Demonstrated experience in frontend development, with in-depth knowledge of Typescript and React.Strong grasp of modern web development practices and responsive design principles.

About the Role:Join our dynamic Mobile Team at Read AI, where we are on a mission to capture and process high-value audio data for our innovative applications. We are dedicated to delivering intelligent, real-time insights across diverse use cases, and we thrive on creativity, collaboration, and technical excellence. Our mobile applications for iOS and Android empower users to capture audio instantly and receive AI-generated transcripts and summaries in real time, ensuring they remain present and engaged in conversations. As we broaden user interactions with Read AI, we are committed to crafting a seamless cross-device experience, allowing users to record, watch, and access Read AI wherever they are.We are seeking a Senior Mobile Engineer who will take significant ownership of our mobile applications and help shape the future of Read AI. This role is critical in scaling high-performance, AI-driven experiences to a wider audience. You will collaborate closely with product, design, and machine learning teams to develop new capabilities, while also raising the standard through mentorship, technical leadership, and robust engineering practices.If you are passionate about creating fast, reliable mobile products and making a real-world impact through AI, we would love to hear from you!Key Responsibilities:Lead major feature areas end-to-end on both iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose), from technical design to implementation, testing, rollout, and iteration.Drive the development of new mobile features and product enhancements, coordinating execution and aligning stakeholders on scope, tradeoffs, and timelines.Enhance real-time audio capture and processing across platforms, utilizing AVFoundation (iOS) and Android audio frameworks to ensure high-quality recordings and accurate transcriptions.Optimize app performance, reliability, battery efficiency, and latency to deliver smooth, real-time AI-powered transcription and summarization.Design and implement AI-driven mobile interactions, including chat-based experiences that enable users to explore, query, and act on meeting reports and insights.Collaborate closely with product, design, and ML teams to prototype and launch innovative mobile UX patterns for conversational AI, making complex information intuitive, fast, and actionable.Evolve mobile architecture patterns, ensuring scalability and maintainability.

Join HackerOne as a Senior Software Engineer on our cutting-edge AI Platform team. In this role, you will be pivotal in designing and developing innovative AI solutions that enhance our security platform. We are looking for a skilled engineer who thrives in a collaborative environment and is passionate about leveraging technology to solve complex challenges in cybersecurity.

Role Overview Airwallex is hiring a Senior Software Engineer focused on Infrastructure AI in Seattle. This role centers on improving infrastructure systems by applying AI technologies. The position calls for close collaboration with colleagues across different teams to build scalable solutions that strengthen both performance and reliability.

About Us:At Read AI, we are an innovative and rapidly growing venture-backed startup dedicated to transforming how individuals interact with information through artificial intelligence. Our platform enhances productivity by summarizing, augmenting, and aggregating data from meetings, chats, and emails, ultimately saving our users valuable time. With over one million active users monthly, we are on an exciting journey of expansion and are seeking passionate individuals who share our commitment to innovation and making a meaningful impact.We embrace diversity and inclusivity in our work environment, valuing the unique perspectives and experiences of every team member. We encourage applications from individuals of all backgrounds and abilities.The Role:As a Senior Software Engineer within our Enterprise Applications team at Read AI, you will be pivotal in developing and maintaining the backend services that drive our enterprise product solutions. Your collaboration with cross-functional teams will be essential as you design, develop, and deploy scalable and reliable backend solutions tailored to meet the specific needs of our enterprise clients.Responsibilities:Collaborate with cross-functional teams to architect and develop scalable and reliable backend services and APIs for our enterprise clients.Take ownership of vital components of our enterprise systems from conception through deployment and ongoing maintenance.Develop features that enhance the management and monitoring capabilities of our platform for enterprise IT administrators.Implement quality assurance best practices, including unit and integration testing.Establish robust authentication and authorization mechanisms to safeguard data security and user privacy.Optimize data processing pipelines and storage solutions to accommodate enterprise-level data requirements.Seamlessly integrate third-party services and data sources into our platform.Monitor, troubleshoot, and resolve infrastructure and operational issues to guarantee maximum uptime and reliability for our enterprise customers.Continuously assess and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.

Why join usAt Brex, we are pioneering a new era in financial management with our AI-driven spend platform. Our mission is to empower businesses with confidence through integrated corporate cards, banking solutions, and global payments, alongside innovative software for streamlined travel and expense management. We proudly serve tens of thousands of clients, from agile startups to major enterprises, including DoorDash, Flexport, and Compass. Our platform enables proactive spend control, cost reduction, and enhanced efficiency across the globe.Joining Brex means pushing your boundaries, challenging conventional wisdom, and collaborating with some of the most innovative minds in the industry. We are dedicated to fostering a diverse team and an inclusive culture, believing that your potential should only be limited by your ambitions. We provide the tools, resources, and support you need to advance your career.AI at BrexOur AI Engineering team at Brex is transforming how businesses manage their finances by embedding intelligent, autonomous systems directly into our platform. We develop AI agents that not only provide insights but also take actionable steps, optimizing spending, managing workflows, and making real-time decisions for our clients. By seamlessly integrating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into efficient, automated experiences, establishing a new standard in modern finance.Your RoleAs a Senior Software Engineer, you will take charge of Brex's simulation and validation platform for our AI-driven products. Your primary objective is clear: ensure that every AI interface at Brex undergoes rigorous testing under demanding, realistic conditions, enabling our teams to deploy solutions with confidence.You will develop a system that leverages synthetic data and scenario generation in a recursive self-improvement loop. Product teams will depend on this system to identify regressions before they reach our customers, validate new features safely, and continuously enhance prompts and agent behavior. The platform will operate in isolated, ephemeral environments closely resembling production to ensure reliability.This role is not about research; it's about rigorously testing real products, creatively breaking them, and driving the organization towards improvement.Work EnvironmentThis position is based in our Seattle office, where we embrace a hybrid work culture that combines the vibrancy and connection of in-office collaboration with the flexibility of remote work. Team members are required to be in the office three days a week (Monday, Wednesday, and Thursday), with the option for up to four weeks of fully remote work each year!

About UsAt Metropolis, we are at the forefront of a transformative movement known as the Recognition Economy. We are developing cutting-edge artificial intelligence solutions that enhance everyday experiences, making them seamless and intuitive. Our innovations are redefining how individuals interact with their environments, from revolutionizing parking to enriching retail and hospitality experiences. Join us in building a future where technology fosters connection, comfort, and belonging.Your RoleWe are looking for an experienced Director of Applied AI to spearhead our newly established Applied AI team. In this pivotal role, you will design an AI-centric operational framework from scratch. As a technical visionary, you will bring a unique combination of engineering expertise and strategic influence to deliver production-ready AI systems. Reporting to senior leadership, you will identify key areas where AI can drive significant impact across our business functions, including finance, operations, and go-to-market strategies. You will cultivate a high-performing team of AI Engineers and Process Analysts, fostering a culture of rapid innovation and collaboration.Key ResponsibilitiesDevelop and manage the Applied AI roadmap, pinpointing high-impact opportunities to enhance business processes across finance, operations, and revenue generation.Recruit, mentor, and guide a talented team of AI Engineers and Process Analysts, promoting an environment of fast-paced iteration and creative problem-solving.Collaborate with functional leaders to gain insights into existing workflows and co-create AI-driven solutions that streamline operations.Establish standards for designing, assessing, and implementing AI workflows, including prompt systems and large language model (LLM) integrations.Define metrics for process transformations and hold the team accountable for delivering measurable outcomes, such as time savings and cost reduction.Act as the go-to expert on applied AI capabilities, industry trends, and best practices.Communicate strategy, progress, and results to senior leadership and the executive team.Qualifications7+ years of experience in software engineering, AI/ML, or technical product leadership.A minimum of 2 years in a leadership role overseeing teams that successfully deployed AI-powered systems in a production environment.In-depth knowledge of large language models, agentic workflows, and AI automation tools such as OpenAI, LangChain, and vector databases.

At PitchBook, a subsidiary of Morningstar, we are committed to pioneering the future. Our culture of innovation, collaboration, and continuous improvement fosters an environment where every team member can thrive and contribute to our dynamic ecosystem.We offer extensive learning programs and mentorship opportunities that create a culture of curiosity, empowering our employees to explore new solutions and optimize existing processes. In a fast-paced industry filled with challenges, we excel by pushing our limits and embracing the possibility of failure as a stepping stone to success.If you possess a proactive attitude and a willingness to dive deep into tasks, PitchBook is where your potential can be fully realized.About the Role:As a vital member of our Product and Engineering team, you will collaborate with creative thinkers and innovators dedicated to enhancing our positive impact on customers and the business. We prioritize curiosity and customer empathy, which guide us in developing exceptional product experiences.We believe that collaboration and diverse perspectives are essential for greatness. Our team engages with partners worldwide, fostering a culture built on respect, integrity, and continuous growth. We heavily invest in our employees, who are eager to learn and evolve alongside us. Join us to amplify your career!

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.