Senior Software Engineer in Applied AI at Pearl Health | Remote

Important Note: We can only consider candidates who are eligible to work in the United States without visa sponsorship. This includes U.S. citizens and Green Card holders.About Evertune AI:Evertune is at the forefront of creating the first AI discovery platform tailored for modern marketers. In a landscape where large language models (LLMs) are becoming esse…

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.

Role overview The Senior Back End Software Engineer position at evertune is based in Seattle. The role centers on developing and maintaining the core back-end systems that power the evertune platform. This work involves designing solutions that help the platform run smoothly and reliably. Collaboration is a key part of the job. The engineer will work closely with other experienced team members to ensure that services are scalable and dependable. Improving the experience for users remains a top priority throughout the development process. What you will do Design, build, and maintain back-end systems for the evertune platform Work with a skilled team to deliver reliable and scalable services Focus on solutions that enhance user experience Location This position is located in Seattle.

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.

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 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.

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.

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.

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 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.

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.

Role overview Opendoor is looking for an Applied Scientist to join the Seattle team. This role is open to candidates from mid to principal levels. The position centers on applied machine learning and artificial intelligence, with a focus on improving the company’s valuation systems. The work directly supports more accurate and transparent pricing for customers. What you will do Develop and refine machine learning models that power Opendoor’s pricing and valuation systems Tackle a variety of machine learning challenges, such as multi-modal modeling and optimizing operations Work with both structured and unstructured data to strengthen decision-making processes Contribute to projects that influence how Opendoor delivers value to customers Location This position is based in Opendoor’s Seattle, Washington office.

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

Join Opendoor as an Applied Scientist, where you will leverage advanced analytical skills and data-driven methodologies to solve real-world challenges in the real estate market. In this role, you will collaborate with cross-functional teams to develop innovative solutions that enhance our products and services.

Join DigitalOcean and elevate your career with impactful work alongside a vibrant community of talented professionals dedicated to creating the most user-friendly and scalable cloud solutions. If you possess a growth-oriented mindset, enjoy thinking innovatively, and thrive in a dynamic environment of an industry pioneer, you will find your niche here. We believe in achieving success together while learning, enjoying ourselves, and making a significant impact for the innovators and creators across the globe.We seek a Senior Software Engineer who will take ownership of developing features and enhancements that simplify and democratize accelerated compute for all users. The AI/ML team is tasked with building a cutting-edge AI platform that supports both open-source and custom models across various modalities (including LLMs, images, audio, and video) utilizing a high-performance inference engine to ensure optimal performance for state-of-the-art models. We are a fast-paced team focused on advancing AI/ML workflows at DigitalOcean.

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.

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.

Join DigitalOcean and take your career to new heights. Collaborate with a vibrant community of exceptionally skilled professionals dedicated to creating the most user-friendly and scalable cloud solutions. If you possess a growth mindset, have the courage to think ambitiously, and thrive in a dynamic environment characterized by innovation, you’ll fit right in. We celebrate achievements together, while simultaneously learning, enjoying our work, and making a significant impact for the dreamers and builders of the world.Scope and Mission:Lead the design and operation of the Gradient AI platform, emphasizing a seamless and innovative agent development experience with top-notch scalability, performance, and predictability.Drive the architectural vision, ensuring technical excellence and innovation across backend systems and customer interactions.Main Responsibilities:Architect and BuildDesign and refine the architecture for our agent development experience, including code integration, evaluations, observability, tools, and cross-agent interactions.Initiate projects to create an architecture optimized for scalability, reliability, low latency, and cost efficiency.Oversee and enhance our benchmarking system to continuously improve our performance standards.Lead the rollout of new services, taking a hands-on approach to ensure timely delivery.Technical LeadershipDefine and uphold technical standards, coding practices, tools, and infrastructure guidelines across AI/ML engineering teams.Establish best practices for design, testing, deployments, instrumentation, and performance tuning.Mentor senior engineers, fostering a culture of architectural rigor and operational excellence within the team.Cross-functional CollaborationCollaborate with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives through agents.Reliability, Performance & ScalingLead Operations Excellence for our Agent development platform, establishing scalable mechanisms and processes for the engineering organization.

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.