Senior Backend Software Engineer at Read AI | Seattle

About UsAt Hiya, we are committed to restoring trust in voice communication by making calls safe, useful, and human once more.Voice is the quintessential form of human interaction, yet it has become increasingly mistrusted due to spam, scams, and AI manipulation, which undermine our connections.Our advanced AI voice technology analyzes over 28 billion calls …

About UsAt Hiya, we are dedicated to transforming voice communication into a safe, valuable, and human experience once more.In a world where voice has become one of the least trusted forms of communication due to spam, scams, and AI manipulation, we are on a mission to restore its integrity.Every month, our advanced AI voice technology processes over 28 billion calls, safeguarding more than 550 million users and supporting over 800 businesses worldwide. We collaborate with a growing network of global partners, including AT&T, Samsung, British Telecom EE, Rogers, MasOrange, Bell Canada, MasMovil, and Virgin Media O2. Our work not only thwarts malicious actors but also empowers individuals to confidently answer their phones again.As we navigate a pivotal moment in voice technology, the demand for reliable communication is skyrocketing. Hiya is experiencing over 40% annual growth, expanding our reach globally, and redefining the future of voice.Join our team to not only contribute to the present of voice but to shape its future: more intelligent, secure, and genuinely worthy of answering.About the RoleAs an AI Engineer, you will play a critical role in developing and integrating AI solutions into Hiya’s product offerings. Your focus will be on rapid iteration, prompt engineering, and practical applications. You'll optimize foundational models, design complex multi-agent systems, and innovate solutions that will drive the next generation of voice intelligence.Key ResponsibilitiesIntegrate AI solutions into our current products and workflows.Collaborate with cross-functional teams to comprehend business needs and convert them into technical solutions.Conduct evaluations and fine-tuning of large language models (LLMs) through prompt engineering.Manage and implement AI orchestration, including agent-based systems.Contribute to the design and development of AI-driven applications and interfaces.Help define the technical direction and best practices for LLM application development.Stay updated with the latest AI research and apply cutting-edge techniques.Qualifications for SuccessStrong programming skills in languages such as Python, JavaScript, or TypeScript.Experience with foundational models and AI orchestration.Familiarity with model evaluations and prompt engineering methodologies.

Join Hiya and Transform Voice CommunicationAt Hiya, we're redefining the way people connect through voice. We believe that every call should be safe, reliable, and genuinely human. As the landscape of voice communication evolves, we are at the forefront, combating spam, scams, and AI manipulation to restore trust in phone calls.With our advanced AI voice technology processing over 28 billion calls monthly, we protect more than 550 million users and collaborate with over 800 businesses globally. Our partnerships with industry leaders like AT&T, Samsung, and British Telecom propel us to new heights, ensuring that picking up the phone feels good again.This is an exciting time for the voice industry, and Hiya is experiencing rapid growth, expanding at over 40% year on year. We're looking for passionate individuals to help us shape the future of voice communication.Role OverviewAs a Senior VoIP Infrastructure Engineer, you will play a key role in establishing voice as a core competency at Hiya. You will transform our innovative solutions into a robust, scalable platform that supports our consumer app and future carrier partnerships.Your expertise will guide the infrastructure and systems that power voice at Hiya, especially within mobile app and B2B carrier environments. You will lead architectural decisions affecting call quality and platform direction, working independently to navigate challenges and deliver impactful solutions.This position is essential for enhancing our platform's capabilities, preparing for carrier integrations, and solidifying Hiya's presence in the voice landscape, particularly for mobile phone applications.

About UsAt Hiya, we are dedicated to making phone calls safe, meaningful, and human once more.Voice communication is the most human form of interaction, yet it has become one of the least trusted mediums. The rise of spam, scams, and AI-driven manipulation has compromised what used to be a straightforward way to connect. Hiya is at the forefront of changing this narrative.Our advanced AI voice technology processes over 28 billion calls each month, safeguarding more than 550 million users and 800 businesses across the globe. Collaborating with a diverse and expanding global network, including AT&T, Samsung, British Telecom EE, Rogers, MasOrange, Bell Canada, MasMovil, and Virgin Media O2, we are not only combating malicious actors but also restoring confidence in phone communication.This is a crucial moment in the evolution of voice communication. As new threats and technologies emerge, the demand for reliable voice interactions increases. Hiya is experiencing over 40% annual growth, expanding its global presence, and shaping the future of voice.Join us in this exciting journey. You will not only contribute to the current landscape of voice technology but also help mold its future: more intelligent, secure, and genuinely worthwhile to answer.About the PositionThe IT Support Analyst is a key role focused on delivering dependable, high-quality IT support to employees both in Seattle and remote teams across North America. This position encompasses daily IT operations, including end-user support, device management, identity and access administration, and SaaS tools management.In addition to these core IT responsibilities, you will contribute to the company's security and compliance initiatives by assisting with SOC 2 and ISO 27001 audits. Collaboration with Security and Coretech teams will be essential for collecting and validating audit evidence, supporting control testing, and ensuring our internal systems adhere to security best practices. This role is ideal for individuals looking to advance their careers in foundational IT support while gaining valuable exposure to security and compliance efforts.What You’ll DoCore IT Support & Operations• Provide first and second-line IT support for employees in Seattle and remote locations.• Manage device setup, configuration, maintenance, and troubleshooting for macOS and Windows systems.• Administer identity and access management through Okta (including user lifecycle, MFA, and access requests).• Support applications such as Google Workspace, Slack, Zoom, Atlassian, GitHub, and AI tools.• Assist with onboarding, offboarding, and other IT-related tasks.

Role overview hiya is hiring a Senior Product Manager in Seattle to help shape new product features and improvements. This role has a direct impact on the direction of hiya’s products, focusing on aligning offerings with what customers need. What you will do Collaborate with engineering, design, and business teams to define product vision and strategy Oversee the full product lifecycle, from concept to launch Apply insights from market research and user feedback to guide priorities and decisions Advocate for customer needs throughout development Requirements Proven experience managing products from initial idea through launch Strong skills in working with cross-functional partners Ability to turn market research and user feedback into clear plans Track record of building products that create real value for customers This is a full-time position based in Seattle, US.

Join hiya as a Senior Go-To-Market (GTM) Engineer in Marketing, where you will play a pivotal role in shaping our marketing strategies and driving growth. This is an opportunity to leverage your expertise in engineering and marketing to develop innovative solutions that engage customers and enhance our brand presence.

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.

As a Forward Deployed Engineer (FDE) at Palona AI, you will serve as a crucial link between our innovative product and engineering teams and our valued customers. Your role involves embedding directly with users to understand their unique challenges and translating those insights into cutting-edge technical solutions. You'll be responsible for deploying production-grade AI systems, managing deployment complexities, influencing product development, and spearheading impactful customer-facing initiatives.Key Responsibilities Collaborate with customers to define, design, and implement AI systems that solve real-world business challenges. Build and integrate production-ready AI applications tailored to customer infrastructures. Create and present engaging demonstrations and prototypes that highlight the capabilities of our AI technology. Ensure the reliability, safety, and performance of AI agents once deployed in production settings. Gather customer feedback and insights to inform continuous product and agent enhancements.

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/.

About Read AIAt Read AI, we are revolutionizing team collaboration by infusing intelligence into every interaction. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be completed more efficiently and with greater focus. We seamlessly integrate with popular tools such as Zoom, Microsoft Teams, Google Meet, and Slack, ensuring that teams remain aligned and productive, regardless of their location.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you are eager to shape the future of AI-driven collaboration and make a significant impact at a dynamic startup, we are excited to hear from you.The RoleAs a Software Engineering Manager at Read AI, you will spearhead a team dedicated to crafting the core product experiences that our users rely on daily. This is a hands-on leadership role ideal for someone with extensive React.js expertise and a solid foundation in UI/UX design. You will set high standards for quality, performance, accessibility, and design collaboration while guiding the team to deliver impactful features rapidly and consistently.You will collaborate closely with Product Design, Product Management, and cross-functional engineering teams to create intuitive, aesthetically pleasing, and scalable user experiences that empower millions of users. We particularly value leaders who leverage data, metrics, and experimentation to inform decisions, assess outcomes, and iterate swiftly.What You’ll DoLead and nurture a frontend engineering team through hiring, coaching, performance evaluations, and career development.Establish the technical direction for React.js architecture, performance, accessibility, and overall quality.Collaborate with Design and Product teams to create cohesive and elegant user experiences.Develop and refine a component and design system to enhance speed and consistency of delivery.Utilize metrics and user feedback to prioritize initiatives and continuously enhance the product.Promote an experimentation culture (A/B testing, feature flags, iterative feedback loops) to enhance user experience and engagement.Oversee execution from planning to launch, balancing speed with engineering excellence.Establish and reinforce best practices including testing, code reviews, observability, and reliable release processes.What We’re Looking ForProven experience in leading frontend engineering teams.Deep understanding of React.js and frontend technologies.Strong background in UI/UX design principles.Ability to use data to drive decisions and improvements.

Join Valorem Reply, a distinguished leader in digital transformation, where we leverage data-driven insights to enhance enterprise operations, modernize IT infrastructures, elevate customer experiences, and innovate product development. Our team excels in harnessing Microsoft technologies to deliver scalable and agile digital solutions that redefine how businesses operate and engage with their customers. Through our strategic business models and design-led methodologies, we ensure secure and rapid transformations for our clients.As a Senior AI Engineer, you will play a pivotal role in aligning AI capabilities with business goals, driving the execution of projects as part of a collaborative team. This hands-on position encompasses consulting, leadership, coding, and the deployment of advanced AI solutions. Your responsibilities will range from facilitating workshops to overseeing large-scale enterprise implementations.

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.

About UsAt LangChain, we are dedicated to making intelligent agents a common feature in our daily lives. Our platform empowers developers to transition from simple prototypes to production-ready AI agents that organizations can trust. Initially, we gained recognition through our open-source tools, and we have since evolved to provide a robust platform for the development, evaluation, deployment, and management of AI agents at scale.Our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by teams from startups to Fortune 500 companies, such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and many others. Millions of developers count on LangChain to enhance their AI capabilities.With $125M raised in Series B funding from leading investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a phase of rapid product development and growth, where every team member has a significant role in shaping our technology and collaborative work environment.About the TeamThe Deployed Engineering team collaborates directly with businesses to design and implement AI agents in operational settings, transforming concepts and prototypes into reliable systems.This technically proficient team engages closely with customer engineers throughout the entire lifecycle, from pre-sales consultations to post-deployment support. Our primary goal is to achieve technical excellence, co-design agent architectures, and assist clients in managing their agents efficiently using the LangChain suite.About the RoleAs a Deployed Engineer, you will tackle some of the most challenging issues in applied AI—focusing on real-world systems that teams depend on rather than mere demonstrations or research. The rapid feedback loop ensures that your contributions are visible and impactful, directly influencing the construction of AI agents in practical applications.What You’ll DoCollaborate to design and develop production-level AI agents with customer teams.Engage with clients to ensure successful implementation and operation of AI solutions.

Join our dynamic team at DigitalOcean as a Senior Full-Stack Engineer II, specializing in Artificial Intelligence and Machine Learning. In this role, you will leverage cutting-edge technologies to design, develop, and deploy robust applications that enhance our platform's capabilities. Collaborate with cross-functional teams to deliver innovative solutions that empower developers and businesses worldwide.

At Palona, we are pioneering the integration of cutting-edge generative and multimodal AI into the hospitality sector. Our dynamic engineering team drives innovation at a rapid pace, utilizing generative AI models to create products that continually adapt and improve. In this fast-evolving landscape, traditional software excellence needs to evolve to accommodate the unique nature of AI outputs, which differ significantly from conventional software failures. This position is crucial in establishing an engineering discipline that identifies potential issues before they impact our customers.In this role, you will engage with evaluation pipelines, observability, cloud infrastructure, and CI/CD processes to enhance Palona's AI agent platform. You will blend DevOps and AI reliability, overseeing production infrastructure while developing tools that ensure optimal AI agent performance.ResponsibilitiesAs an AI Reliability Engineer, your key responsibilities will include:Creating and implementing observability systems to identify quality degradation, latency issues, and system anomalies in production, including the development of instrumentation, dashboards, and alerting mechanisms.Writing and maintaining automated tests to assess agent output quality, incorporating deterministic checks and LLM-as-judge evaluations.Developing automated release and validation systems to streamline deployments across different environments and enforce quality gates for AI-driven products.Building and refining platform infrastructure using infrastructure as code, with a strong emphasis on reliability, scalability, and cost efficiency.Enhancing evaluation pipelines that gauge AI agent conversation quality, accuracy, and safety, collaborating with product and engineering teams to refine evaluation criteria.Designing and developing internal tools and services that bolster AI reliability, evaluation, and operational workflows.Architecting new systems to tackle emerging reliability and quality challenges within the AI agent platform.Producing production-grade code for reliability and evaluation infrastructure, contributing as a software engineer rather than merely an operator.

At Databricks, we are driven by a passion for empowering data teams to address some of the most challenging problems in the world—from transforming the future of transportation to fast-tracking medical innovations. Our mission is to build and maintain the world's leading data and AI infrastructure platform, enabling our customers to harness deep data insights to enhance their business operations. Founded by engineers with a customer-centric approach, we eagerly embrace every opportunity to confront technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning.As a Staff Frontend Engineer, you will collaborate with your team and product management to simplify data insights for our users. We seek engineers who are genuinely customer-focused, capable of overseeing the entire product and user experience beyond mere technical execution. You will lay the groundwork for developing robust, scalable, and delightful products.Your contributions will include creating experiences that guide our customers through the complete project lifecycle—from data loading and result visualization to statistical modeling and deployment as production artifacts.Design and deliver reusable UI primitives and component patterns that provide consistent behavior across consoles, enabling a write-once, run-anywhere approach.Define application bootstrapping and cross-surface navigation primitives that abstract console boundaries while ensuring accurate authorization and routing.Implement unified frontend data clients and service components.Create, deploy, test, and enhance platform components that support intricate frontend data exploration and visualization experiences.Offer reference patterns, templates, and tests that standardize portability, minimize rework, and expedite the delivery of cross-surface features.Collaborate with feature teams to establish single-console experiences and facilitate platform migrations from pilot pages to widespread adoption.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates with clients to transform groundbreaking research into robust production systems. We thrive at the intersection of customer interaction and core platform innovation.Role OverviewWe seek dedicated and customer-centric software engineers to develop tailored software solutions utilizing OpenAI’s APIs to address real-world challenges. As a Forward Deployed Software Engineer (FDSWE), you’ll partner with our clients and fellow OpenAI engineers to craft scalable solutions for their toughest issues. You will innovate abstractions to tackle client problems, enhancing our efficiency and quality of delivery across all Forward Deployed projects.You will engage closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers associated with the same accounts. Additionally, you’ll collaborate with our Research and Applied Product and Engineering teams to relay valuable customer insights.This position is based in Seattle, following a hybrid work model with three days in the office each week. We provide relocation assistance and expect travel of up to 50%.Key Responsibilities:Work closely with strategic customers to deeply understand their business challenges and technical needs.Design, architect, and implement full-stack solutions using an iterative, experiment-driven methodology.Draft comprehensive scopes of work and project plans for both proof-of-concept initiatives and full-scale deployments.Engage hands-on with clients’ technical teams as a trusted expert and advisor, collaborating closely to drive projects to successful completion on their infrastructure.Team up with Product, Research, and Applied teams to ensure optimal customer experiences, project success, and actionable product feedback.Contribute to internal knowledge repositories, documenting best practices and sharing insights from customer interactions to enhance the Forward Deployed Engineering function.Ideal Candidate Profile:7+ years of comprehensive full-stack engineering experience (excluding internships) in tech or product-centric environments, particularly with customer-facing roles being highly desirable.Proficiency in programming languages and frameworks relevant to full-stack development.Strong problem-solving skills and a passion for customer engagement.

Location Details: At GoDaddy, our vision of the future of work varies by team. While some teams are fully office-based, others enjoy a hybrid setup—working remotely on selected days and in the office on others. Some teams operate entirely remotely. This particular role is classified as a hybrid position. You will split your time between remote work from home and in-office collaboration, so proximity to the office is essential. The frequency of in-office work may range from several times a week to just once a month or quarter, as determined by team leadership. The hiring manager will provide more details about the hybrid work structure for this team. Please note, this position is not available for candidates residing in Alaska, Mississippi, North Dakota, or the Virgin Islands. Join Our Innovative Team... As part of the Airo Growth and Innovation division at GoDaddy, we are on the lookout for a Principal AI/Machine Learning Scientist to join our core Applied ML team. Our mission is to cultivate and expand a community of ML scientists and engineers dedicated to learning, sharing, and growing together. We are focused on deeply understanding all major business units and strive to empower business outcomes through the use of AI and cutting-edge ML algorithms. This core Applied AI and Machine Learning team leverages large-scale data to enhance various business functions. Our objective is to develop a seamless navigation experience across different channels and web pages, simplifying the shopping journey for entrepreneurs worldwide and allowing them to efficiently find what they need on our platform. We are seeking a seasoned AI/ML Scientist to spearhead research and development in Agentic AI systems and Reinforcement Learning (RL). This role will focus on crafting intelligent agents that are capable of autonomous decision-making, planning, and reasoning within complex settings. You will operate at the crossroads of large-scale foundational models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products. Key Responsibilities: Lead the research and development of advanced Reinforcement Learning algorithms, including policy optimization, hierarchical RL, and multi-agent RL systems. Design and implement agentic architectures to facilitate autonomous reasoning, planning, and sophisticated tool utilization. Pioneer the integration of Large Language Models with RL to create transformative AI solutions.