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Entry Level
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What You Bring to the Table0-2 years of relevant professional experience. Strong analytical and problem-solving abilities with a passion for tackling technical challenges. A customer-centric approach complemented by excellent communication skills, alongside a keen interest in product design and prioritization. Self-driven and capable of working independently while contributing to team goals. A genuine enthusiasm for continuous learning and staying abreast of the latest advancements in AI technology.
About the job
Join Our Innovative Team at Simple AI
At Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.
As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.
We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.
About Simple AI
Simple AI is at the forefront of creating advanced voice AI solutions for enterprises, helping iconic brands streamline their communication processes. Our innovative technology is backed by top-tier investors and a talented team that thrives on pushing the boundaries of what AI can achieve in business.
About Rad AIAt Rad AI, we are dedicated to revolutionizing the healthcare landscape through the power of artificial intelligence. Established by a radiologist, our innovative AI solutions are transforming radiology, streamlining processes, alleviating physician burnout, and enhancing patient outcomes. With access to one of the largest proprietary datasets of…
Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.
Join Rad AI as the Head of ContinuityAt Rad AI, we are dedicated to revolutionizing healthcare through the power of artificial intelligence. Born from the expertise of a radiologist, our innovative AI solutions are transforming the landscape of radiology—streamlining processes, alleviating clinician burnout, and enhancing patient outcomes. Our extensive proprietary radiology report dataset, one of the largest globally, has facilitated the identification of countless new cancer cases and has nearly halved error rates in radiology reports.With over $140 million secured in funding, including a recent $68 million Series C round led by Transformation Capital, our valuation stands at $528 million. We are proud to have the backing of prestigious investors such as Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, all committed to our mission of empowering healthcare professionals with state-of-the-art AI tools.Our generative AI advancements are utilized by thousands of radiologists every day, supporting nearly half of all medical imaging in the United States through partnerships with esteemed healthcare systems like Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized by CB Insights and AuntMinnie as one of the most promising healthcare AI firms of 2023, and ranked 19th by Deloitte among the fastest-growing companies in North America, we are committed to crafting AI solutions that have a tangible impact. Recently, we were also featured on CNBC’s Disruptor 50 list, showcasing the innovation and drive behind our mission.If you are passionate about shaping the future of healthcare, we invite you to join our dynamic team!Our AI solutions integrate seamlessly into the radiologist’s workflow:Rad AI Impressions automatically generates the impression section of reports in real-time.Rad AI Reporting is a comprehensive radiology reporting platform enhanced by Generative AI.Rad AI Continuity is our innovative platform for patient follow-up coordination, ensuring actionable findings in radiology reports are addressed, thereby closing the loop between radiology and subsequent care.Be a part of our mission to enhance patient care through intelligent solutions!
At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.
About UsAt Hayden AI, we are dedicated to leveraging the capabilities of computer vision to revolutionize how transit systems and government agencies tackle pressing real-world issues.Our cutting-edge mobile perception system enhances bus lane enforcement, transportation optimization, and much more, empowering our clients to speed up transit, improve street safety, and work towards a sustainable future.About the RoleThe Infrastructure Engineering team plays a vital role in the success of Hayden AI products. We are responsible for the foundational infrastructure that links thousands of deployed devices to our extensive, multi-region cloud services and applications that utilize the data collected from these devices. If you consider yourself a force multiplier, you’ll thrive in our dynamic team!Key Responsibilities:Architect the Service Backbone: Lead the design and continuous improvement of our core services architecture, ensuring a robust, high-availability backbone for all cloud services and engineering teams.Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for our cloud services, aligning with future business expansion and technological advancements.Strategic Decision Making: Lead pivotal architectural decisions, conduct in-depth code reviews, and assess technical trade-offs to maintain a sustainable and scalable service ecosystem.Scale Multi-Region Cloud: Design and oversee globally distributed, multi-region cloud deployments utilizing advanced Infrastructure as Code (IaC) for optimal scalability and performance.Automate Everything: Employ automation and modern orchestration tools to minimize manual tasks, enabling a self-service infrastructure model that allows developers to deploy code swiftly and safely.
About AbridgeAbridge, founded in 2018, is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is specifically designed for medical dialogues, streamlining clinical documentation and allowing healthcare professionals to prioritize patient care.Our advanced technology converts patient-clinician interactions into organized clinical notes in real-time, integrating seamlessly with electronic medical records (EMRs). Utilizing Linked Evidence and our specialized, auditable AI, we uniquely align AI-generated summaries with verified information, fostering trust among providers regarding our outputs. As leaders in generative AI within the healthcare sector, we are establishing benchmarks for the ethical use of AI across health systems.We are a dynamic team composed of practicing physicians, AI researchers, PhDs, creatives, technologists, and engineers united in our mission to empower individuals and enhance the clarity of healthcare. Our offices are situated in San Francisco's Mission District, New York's SoHo, and Pittsburgh's East Liberty.The RoleWe invite Software Engineers to join our expanding Product Engineering team! You will be instrumental in scaling and evolving our business by developing and maintaining both new and existing web applications along with their back-end systems. Your responsibilities will include coding (primarily in TypeScript), making architectural choices, recommending technology adoptions, and ensuring the reliability and security of our systems as they grow.
About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.
fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects
About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.
About NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.
Join Us at Pylon Labs: Shaping the Future of B2B Post SalesAt Pylon Labs, we are revolutionizing the B2B post-sales support landscape with our all-in-one platform that leverages conversational data and sophisticated intelligence. Our mission is to empower businesses to operate seamlessly and in real-time.We are proudly backed by top investors including a16z, BCV, General Catalyst, and Y Combinator, and currently support over 1000 companies, including Linear, Cognition (creators of Devin), Modal Labs, and Incident.io, in managing their support and customer success workflows.Recognized on the Enterprise Tech 30 List, our product covers a vast problem space, offering numerous opportunities for innovation and ownership. We are excited to welcome several talented software engineers to our dynamic team.Your Role: What You'll DoDevelop and enhance the infrastructure that drives Pylon's AI capabilities, including prompt execution and search infrastructure.Elevate the observability of LLMs through comprehensive AI evaluations, and prepare Pylon's AI for scalable growth.Enhance the quality and performance of our AI features.Are You the Right Fit?You prefer focusing on building and delivering code over excessive meetings.You possess solid engineering fundamentals, code efficiently, and are aware of your strengths and areas for growth.You excel in autonomous environments where you can manage your own projects and details.You are located in San Francisco or willing to relocate, enjoy in-person collaboration, and are committed to fostering a vibrant company culture.Familiarity with React, Golang, GraphQL, and AWS is a plus.Join a team of seasoned engineers from prestigious companies such as Samsara, Affinity, and Airbnb.Our Benefits Comprehensive medical, dental, and vision coverage for employees 401(k) retirement plan Commuter benefits Parental leave 14 company holidays plus unlimited PTO
About UsAt Fieldguide, we are revolutionizing global commerce and capital markets by automating the vital work of assurance and audit professionals, particularly in cybersecurity, privacy, and financial audits. Our mission is straightforward: we create innovative software solutions that foster trust among businesses.Based in San Francisco, CA, we embrace a remote-first culture that empowers you to excel in your work from any location. Our company is proudly supported by prestigious investors such as Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and others.Diversity is at the heart of our values. We actively seek individuals from varied backgrounds and experiences to contribute to the evolution of audit and advisory services. Our team embodies inclusivity, ambition, humility, and supportiveness. We are intentional and reflective about the team culture we aim to cultivate, welcoming members who excel in their skills while genuinely caring about one another's growth.Joining our early-stage start-up means playing a crucial role in shaping the future of business trust. We enhance the lives of audit practitioners by streamlining up to 50% of their workload, promoting a healthier work-life balance. If you resonate with our values and are excited about nurturing a remarkable culture and product, Fieldguide is your ideal place to thrive.About the RoleFieldguide is at the forefront of developing AI agents tailored for the intricate workflows of audit and advisory services. As a San Francisco-based Vertical AI company, we operate within a rapidly evolving $100B+ market. Our solutions are trusted by over 50 of the top 100 accounting and consulting firms to drive their most critical functions.Supported by renowned investors such as Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and Elad Gil, we are poised for growth.As an AI Engineer, you will be instrumental in designing and building the intelligence layer of Fieldguide, focusing on the agentic workflows, architectures, and evaluation systems that fuel enterprise-grade agents. This role bridges product engineering, applied AI, and production systems.We are hiring for all levels of experience and will assess seniority during the interview process based on your background and aspirations. This position is geared towards engineers who appreciate in-person collaboration at our San Francisco office.
Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.
About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.
Join the innovative team at Perplexity as an AI Infrastructure Engineer. In this role, you will leverage your expertise in Kubernetes, Slurm, Python, C++, and PyTorch, primarily utilizing AWS. Collaborate closely with our Inference and Research teams to design, deploy, and optimize our extensive AI training and inference clusters.ResponsibilitiesArchitect, deploy, and manage scalable Kubernetes clusters tailored for AI model inference and training workloads.Oversee and enhance Slurm-based HPC environments for distributed training of large language models.Create robust APIs and orchestration systems for training pipelines and inference services.Implement effective resource scheduling and job management systems across diverse compute environments.Evaluate system performance, identify bottlenecks, and implement enhancements across both training and inference infrastructures.Develop monitoring, alerting, and observability solutions specifically designed for ML workloads running on Kubernetes and Slurm.Quickly respond to system outages and collaborate with multiple teams to ensure high uptime for critical training runs and inference services.Optimize cluster utilization and execute autoscaling strategies to meet dynamic workload demands.QualificationsExtensive experience in Kubernetes administration, including custom resource definitions, operators, and cluster management.Proficient in Slurm workload management, encompassing job scheduling, resource allocation, and cluster optimization.Demonstrated experience in deploying and managing distributed training systems at scale.In-depth knowledge of container orchestration and the architecture of distributed systems.Solid familiarity with LLM architecture and training processes, including Multi-Head Attention, Multi/Grouped-Query, and distributed training strategies.Experience in managing GPU clusters and optimizing compute resource utilization.Required SkillsAdvanced Kubernetes administration and YAML configuration management skills.Expertise in Slurm job scheduling, resource management, and cluster configuration.Proficiency in Python and C++ programming with a focus on systems and infrastructure automation.
Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.
fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.
Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.
The OpportunityJoin rowspace as an Infrastructure Engineer and play a pivotal role in constructing and safeguarding the core of our cutting-edge AI data platform. In this position, you'll engineer systems capable of managing extensive volumes of sensitive financial information while adhering to rigorous security and compliance standards. Your work will involve real-time integration of public data with private, tenant-isolated customer data at scale.Key ResponsibilitiesDesign and implement scalable infrastructure to support our AI-driven knowledge engine that processes both structured and unstructured financial data.Establish a security-first architecture for private cloud environments, ensuring data governance aligns with financial services regulations.Create resilient data ingestion pipelines that accommodate a variety of data sources, from CapIQ feeds (structured data) to internal SharePoint documents (unstructured data).Develop comprehensive monitoring and alerting systems for our BYOC platform.Enforce access controls and maintain audit trails to ensure that AI interactions can be traced back to primary sources.Collaborate with our AI Research and Product teams to enhance infrastructure for LLM inference and training workloads, as well as agent infrastructure development.Establish CI/CD practices and infrastructure-as-code for swift, reliable deployments across multiple cloud providers.
