AI Infrastructure Engineer

About UsAt Percepta, we are dedicated to revolutionizing vital sectors through the power of applied AI. Our goal is to ensure that key industries such as healthcare, manufacturing, and energy harness the benefits of cutting-edge technology.We partner with leading organizations to facilitate AI transformation, providing:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the swift deployment of intelligent architecturesStrategic alliances with notable entities like Anthropic, McKinsey, AWS, and the General Catalyst portfolioOur team is a dynamic collective of Applied AI Engineers, Embedded Product Managers, and Researchers driven by the mission to integrate advanced AI into the systems that shape our world.Percepta is a proud partner of General Catalyst.Role OverviewWe are on the lookout for an AI Infrastructure Engineer who will be responsible for the infrastructure, deployment, and operational reliability that underpin Percepta's AI systems, including the autonomous agents driving our innovations.Your role will involve enhancing existing systems: refining our Terraform configurations, fortifying deployment pipelines, and implementing more robust management of infrastructure across various regions and providers. You will also be tasked with constructing missing components and exploring uncharted territories, defining what Site Reliability Engineering (SRE) means in the context of autonomous decision-making systems.The infrastructure paradigms for future autonomous systems are yet to be established, and you will play a crucial role in shaping them.What Sets This Role ApartYou will be working with autonomous systems, where the infrastructure dynamics shift significantly when workloads have agency.Observability entails understanding the rationale behind an agent's decisions, not merely checking the health of a pod.There is a tangible gap between research and production in our environment. Our teams transition optimization algorithms and AI systems from research settings to production, and you will be integral to this process. While MLOps experience is not mandatory, you will be closer to this boundary than most infrastructure roles.Join a small team with significant ownership. You will make foundational decisions rather than inherit pre-existing ones.Your ResponsibilitiesDesign infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable in innovative ways.

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As an Infrastructure Software Engineer, you will play a pivotal role in building and scaling the systems that facilitate our rapid expansion. Your primary focus will be on ensuring that our infrastructure is not only highly available but also cost-efficient and capable of managing significant traffic and compute demands. You will collaborate closely with engineers across product, research, and operations teams to design scalable architectures, streamline deployment processes, and enhance system observability.Your ResponsibilitiesDesign and maintain core infrastructure across diverse cloud environments.Develop infrastructure-as-code workflows to automate deployment and scaling processes.Enhance monitoring, logging, and alerting systems to ensure system reliability.Oversee CI/CD pipelines to facilitate seamless deployments.Assist in disaster recovery planning to guarantee high system availability.Collaborate with product and research teams to design architectures that can scale with increasing workload demands.Identify and resolve performance bottlenecks in compute, storage, and networking.Implement security best practices and compliance frameworks across the infrastructure.

Role overview rowspace is looking for an Infrastructure Engineer based in New York City. This position centers on building and securing the core systems that power our AI data platform. The work involves designing infrastructure that processes large volumes of sensitive financial data, with particular attention to security and compliance. Integrating both public and private, tenant-specific customer data in real time and at scale is a key part of this role. What you will do Design and build scalable infrastructure for an AI knowledge engine that works with structured and unstructured financial data. Develop secure architectures for private cloud environments, ensuring alignment with financial services compliance standards. Create data ingestion pipelines for sources such as CapIQ feeds and internal SharePoint documents. Develop monitoring and alerting tools for our Bring Your Own Cloud (BYOC) platform. Set up access controls and audit trails to trace AI interactions back to original data sources. Collaborate with AI Research and Product teams to optimize infrastructure for large language model (LLM) inference, training, and agent development. Implement CI/CD workflows and infrastructure-as-code for reliable deployments across multiple cloud providers.

CVector is dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors.Our technology seamlessly integrates critical decision-making factors that impact cost, reliability, and profit margins, providing a unified decision layer that forecasts future scenarios, simulates potential outcomes, and optimizes operational strategies. This allows industrial plants to operate closer to their maximum economic potential daily.This position requires in-office attendance at our New York City headquarters four days a week. CVector serves clients nationwide and operates in challenging industrial environments.Role OverviewAs a Senior Software Engineer specializing in Backend and AI Infrastructure, you will be instrumental in advancing CVector’s backend platform. Your focus will be on developing time-series data systems, AI-enhanced analytics, cloud infrastructure, and data ingestion pipelines that underpin our client-facing applications and internal modeling tools.This role is ideal for engineers who thrive on working closely with data and infrastructure, possess excellent architectural judgment, and are eager to engage with AI systems, databases, and distributed backend services. You will take ownership of complex systems, lead significant technical migrations, and influence the integration of intelligence into industrial energy workflows.You will work in close collaboration with product, modeling, and frontend engineers, significantly impacting the platform's direction, reliability, and scalability for the long term.Key ResponsibilitiesAs a Senior Software Engineer, your contributions will span various interconnected domains:Intelligent SystemsTranslate customer domains and operational workflows into effective prompts and AI system interfaces.Design, implement, and refine evaluations for AI outputs.Incorporate customer feedback and reinforcement signals to enhance system performance.Optimize context selection, retrieval, and trace collection to elevate output quality.Fine-tune smaller models using collected traces to enhance speed while maintaining performance standards.Evaluate and assimilate new AI platforms and models as they emerge.Support the training and deployment of large, time-series-specific models.Backend Platform and Data InfrastructureOversee migrations and enhancements of our time-series data schemas and storage systems.Update and manage PostgreSQL and associated database infrastructure.Develop and sustain data connectors for industrial and external systems.Lead improvements to MQTT-based data ingestion pipelines.Transition PostgREST to a GraphQL-based framework and evolve our API architecture.

About Farsight AIFarsight AI is revolutionizing financial services with our advanced AI platform, designed to empower investment banks and private equity firms to fully automate intricate workflows. By significantly reducing the time spent on manual data gathering and drafting, we enable our clients to focus on critical decision-making and strategy. Our AI-driven insights enhance their presentations, models, and pitches, unveiling opportunities that would remain hidden without our innovative technology.Our TeamOur team comprises industry veterans from top financial institutions such as Evercore and General Atlantic, combined with technical expertise from renowned tech companies like Amazon and Hugging Face. With experience as founders and engineers, we aim to build a world-class startup by attracting the brightest talent. Located in Manhattan, we foster a collaborative work environment, being in the office four days a week, with Fridays reserved for remote work.Job OverviewAs a Cloud Infrastructure Engineer at Farsight AI, you will spearhead the design, implementation, and management of critical infrastructure that underpins our state-of-the-art AI products. Your contributions will play a vital role in facilitating secure, scalable, and reliable deployments for leading financial institutions.Key Responsibilities:High Priority: Develop and refine repeatable processes and infrastructure solutions to ensure secure, multi-tenant, and customer VPC deployments.Architect, deploy, and manage resilient cloud infrastructure to effectively support large-scale generative AI workloads.Optimize our CI/CD platform to ensure swift and dependable deployments.Design and maintain infrastructure-as-code solutions (utilizing AWS CDK and CloudFormation) for scalable deployments.Implement comprehensive monitoring, logging, and observability strategies to ensure high system availability.Uphold strict security standards and compliance across the infrastructure.Manage and orchestrate extensive microservice architectures and their communication protocols.Proactively engage in infrastructure improvements and innovations to enhance performance.

Join our innovative team at Savvy as an Applied AI Infrastructure Specialist. In this role, you will leverage cutting-edge technologies to enhance our AI capabilities and streamline infrastructure processes. Collaborate with a dynamic team of experts to implement solutions that drive efficiency and effectiveness within our systems. This position offers an exciting opportunity to work at the forefront of artificial intelligence and infrastructure development.

Senior AI EngineerAbout Fonzi AIFonzi AI is a dynamic startup with robust funding, reshaping the hiring landscape through innovative AI solutions. Launched recently, we have quickly garnered thousands of talented engineers to our platform. Our mission is to create an AI-driven recruiting marketplace that connects millions of job seekers with employers, where intelligent AI recruiters learn about individual preferences and seamlessly match candidates with ideal opportunities.The RoleWe are on the lookout for a Senior AI Engineer who will spearhead the development of groundbreaking AI experiences that will shape the future of recruitment. In this role, you will work closely with our engineering team, collaborating with full-stack engineers to integrate AI capabilities into our platform. Your AI features will be integral to the overall functionality of our application.You will engage in AI experimentation, implementation, and teamwork to deliver cohesive products. If you have experienced that transformative moment when AI revolutionizes how we work and are eager to create products that embody that potential for users, this position is tailored for you.What You'll DoDevelop AI agents capable of engaging in meaningful conversations with candidates and recruitersDesign and implement AI-driven features from the ground up, including voice interfaces, coaching systems, and intelligent matching algorithmsExperiment with cutting-edge models and techniques, making informed decisions regarding cost, quality, and speedProduce high-quality production TypeScript code that transforms AI concepts into reliable user experiencesRapidly prototype new AI functionalities and scale successful innovations to serve thousands of usersCollaborate closely with the engineering team to ensure seamless integration of AI features across the entire platformWork alongside full-stack engineers to pinpoint opportunities where AI can enhance the recruitment experienceStay abreast of developments in the AI field while maintaining focus on delivering tangible productsRequired ExperienceProven AI development experience: You have successfully built and deployed AI/LLM features in production for over a yearFull-stack engineering skills: Strong expertise in TypeScript, React, and Next.js, able to contribute to all aspects of development

Join arch.co as a Lead Infrastructure Engineer, where you will play a pivotal role in designing, implementing, and maintaining our cutting-edge infrastructure systems. Collaborate with cross-functional teams to ensure robust architecture and performance optimization, while mentoring junior engineers and providing technical leadership.

Join a team of former Google engineers who have developed some of the world's most significant defensive platforms, including Safe Browsing and reCAPTCHA. We are embarking on an ambitious journey to combat a new generation of adversarial AI attacks that organizations face today.Currently operating in stealth mode, we are targeting a $5B+ market that is primed for innovation. Conventional detection strategies are lagging behind as adversaries leverage AI to create highly customized attacks that evade traditional systems.Your Mission: Design a comprehensive network of AI agents that are efficient, cost-effective, and precise, working in unison to identify and neutralize emerging threats. You will delve into real-time threat data, iteratively refining your agents in response to the evolving battlefield. These agents will function under a rapid iteration and adaptive learning orchestration layer.Challenges and OpportunitiesRapidly Changing Models: The strategies that were effective yesterday may become obsolete tomorrow.Intelligent Adversaries: We are engaged in a real-time arms race against sophisticated AI-driven attackers.No Established Playbook: We are innovating new detection methodologies as threats develop, making this a high-stakes, impactful role from day one.If you are an engineer who thrives on solving complex problems and values quick feedback, this challenge is for you.Why We Will SucceedVast Market Potential: A rapidly expanding market valued at over $5B, with slow-moving traditional competitors.Proven Track Record: Our team has previously built core technologies behind Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.Third-Time Charm: This is our third endeavor in creating a category-defining security company, and we know how to scale both technology and business effectively.AI and Security Expertise: Our approach integrates AI and security from the ground up rather than as an afterthought.Elite Team: We only recruit top talent, with many team members being in the top 1% of engineers from Google.Agility: We prioritize speed and efficiency, ensuring a dynamic work environment.

Senior AI Product EngineerAbout Fonzi AIAt Fonzi AI, we are a pioneering Series A startup, backed by Lightspeed, dedicated to transforming the hiring landscape through the power of AI. Established by seasoned entrepreneurs from Kumospace, we launched our innovative AI-driven recruiting marketplace in June 2025 and have quickly become revenue-positive, partnering with nearly 100 employers—over 75% of whom are AI-native companies. Our platform is home to thousands of engineers, and we proudly host Match Days every two weeks, where pre-screened candidates receive competitive offers from leading employers.Our vision is to create an infrastructure where AI comprehensively understands the roles of engineers, their aspirations, and seamlessly matches them with suitable opportunities. We are committed to moving beyond surface-level AI applications and are building toward a future where intelligent systems manage the entire recruiting workflow. We seek engineers who share our passion for this vision and are eager to help shape the future with us.The RoleAs a Senior AI Product Engineer, you will embrace a multifaceted role in this new era of software development. The distinction between "full-stack engineer" and "AI engineer" is rapidly diminishing, and at Fonzi, we have embraced this convergence.You will take ownership of features from inception to deployment: designing database schemas, developing React components, and creating the AI agents that infuse intelligence into our platform. Some weeks, you’ll focus on building robust backend systems; other weeks, you'll experiment with cutting-edge models to develop features that feel transformative. Most weeks, you’ll engage in both aspects.We are in search of engineers who have experienced the "aha moment"—those who recognize that AI fundamentally alters the software development landscape and wish to work at a company where this principle is embedded in every product decision.What You'll BuildAI Agents that facilitate intelligent conversations with candidates, including voice interfaces for onboarding engineers, coaching systems for interview preparation, and adaptive matching algorithms that evolve with each interaction.The Platform powering a two-sided marketplace, utilizing TypeScript/Node.js for backends, React/Next.js for frontends, and PostgreSQL for the data layer, all designed for speed and rapid iteration.AI-Powered Features from conception to production—rapidly prototype using the latest models, strategically balancing cost, quality, and speed, then scale successful features to thousands of users.The Intelligence Layer that enhances our marketplace with each candidate interaction, creating a data flywheel that will establish our competitive edge.

Join Crosby as an Infrastructure Engineer and play a crucial role in designing, implementing, and maintaining robust infrastructure systems. You will collaborate with cross-functional teams to ensure optimal performance, security, and scalability of our infrastructure.

Kepler: AI you can rely on and validate.Every AI system faces a common challenge: it interacts with data, leading to unpredictable outputs. For those making high-stakes decisions, such variability is not a minor issue—it's a dealbreaker.We have developed a framework that eliminates the chances of erroneous outputs. Our AI comprehensively interprets your intentions, while deterministic algorithms extract every statistic from credible source documents. Since the model never generates figures, it can’t produce inaccuracies. Each output is traceable back to its source, with every calculation clearly defined. Our answers are consistently defendable.Operational in real-time across a vast database of 950K+ SEC filings, 14K+ companies, 40M+ documents, and 27 global markets. Trusted by organizations where accuracy is paramount.Our architecture is versatile across domains, with finance being our initial focus due to its critical challenges. Future applications will include healthcare, legal, and insurance sectors. We are not merely creating a financial product; we are establishing the verification backbone for the entire AI ecosystem.Founded by Vinoo Ganesh, a former Palantir executive and Head of Business Engineering at Citadel, alongside Dr. John McRaven, who has a strong background at Palantir and holds a Ph.D. in Physics, our team is backed by prominent figures from OpenAI, Facebook AI Research, and more.Your RoleAs an Agentic Systems Engineer, you will develop the foundational infrastructure that supports Kepler's AI research platform. Your responsibilities will include creating distributed execution frameworks capable of managing thousands of parallel agents, quality evaluation systems, contextual management tools to enhance agent performance, and systems to track the provenance of every output.This position is tailored for engineers eager to innovate at the cutting edge of AI systems, constructing the infrastructure necessary for enterprises to trust their automated agents for critical decision-making.In your first 90 days, you will:Launch your first production agent system with mentorship from senior engineers.Construct and implement infrastructure to facilitate authentic financial research workflows.Witness the impact of your code as agents perform research within leading financial institutions.Take command of a vital agentic system from its architecture to its deployment.

About DaydreamDaydream is an innovative chat-based shopping assistant exclusively tailored for fashion. Our aim is to revolutionize the way individuals discover and explore fashion by delivering a personalized, conversational experience powered by cutting-edge AI and natural language understanding.Supported by leading investors such as Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our dedicated team is passionate about redefining the future of shopping.About the RoleAs the Engineering Lead for Platform & AI, you will take ownership of several backend systems at Daydream. This includes managing the catalog data pipeline that drives our product index, overseeing the AI content pipeline that generates landing pages for ad campaigns, and developing the B2B integration layer that allows our search functionality on partner retail websites. Your work will primarily involve Python and Go, focusing heavily on LLM integration, with your contributions directly impacting our product.Key Responsibilities:Catalog Pipeline:Oversee the augmentation pipeline—a multi-step Polars system that executes ML models (image analysis, hero selection, swatches via Vertex AI), standardizes sizes, appends affiliate links, and writes to Delta Lake / GCS.Enhance catalog quality through OOS accuracy, hero image selection, and sizing coverage.Develop and maintain scrapers and mappers for over 100 fashion merchants across various platforms including Shopify and custom sites.Eventually, take charge of the enrichment layer, focusing on attribute extraction, taxonomy, and Elasticsearch indexing.Content Generation Pipeline:Lead the AI content pipeline—a multi-step system utilizing LLM for topic generation, product matching, quality scoring, and landing page assembly.Enhance prompt quality and evaluate LLM output.Advance towards personalized content for logged-in users, email content, and broadened ad formats.B2B Merchant Integration:Create and manage services that expose core Daydream capabilities to merchant partners.Deploy on Kubernetes utilizing Helm and ArgoCD.In All Areas:Collaborate across teams to ensure seamless integration and functionality of systems.

About DecagonDecagon stands at the forefront of the conversational AI revolution, enabling brands to provide exceptional concierge-level customer experiences. Our cutting-edge technology empowers renowned enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to implement AI-driven agents. These agents facilitate personalized interactions across all communication channels including voice, chat, email, and SMS.Our vision is to transform the landscape of customer interactions, moving beyond traditional support tickets and hold music toward expedited resolutions, enriched conversations, and stronger relationships. We are proudly supported by prestigious investors such as a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, all of whom share our ambitious vision.As an in-office company, we thrive on a collective commitment to excellence and speed. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our collaborative efforts and professional growth.About the TeamThe Infrastructure team is responsible for designing and maintaining the essential frameworks that drive Decagon’s operations, including networking, data management, machine learning serving, developer platforms, and real-time voice communication. We collaborate closely with product, data, and machine learning teams to create high-scale, low-latency systems that meet stringent service level objectives and offer exceptional developer experience.Our team focuses on five critical areas:Core Infrastructure: Our foundational cloud architecture encompasses networking, computing, storage, security, and infrastructure-as-code, ensuring reliability, scalability, and cost-effectiveness.Data Infrastructure: We develop streaming and batch data platforms that drive analytics and business intelligence while enabling customer-facing telemetry for both customer-managed and on-premises environments.Machine Learning Infrastructure: Our platforms support GPU and model serving for large language model inference, featuring multi-provider routing and capabilities for on-premises or air-gapped deployments.Developer Experience Platform: We focus on continuous integration and deployment (CI/CD), streamlined processes, and essential services that facilitate fast, safe, and consistent shipping across teams.Voice Infrastructure: Our telephony and WebRTC stack ensures ultra-low-latency, high-quality voice communication, supported by comprehensive observability.Our mission is to deliver extraordinary support experiences where AI agents collaborate with human operators to resolve challenges swiftly and accurately.About the RoleWe are seeking a Senior Infrastructure Engineer who will play a pivotal role in shaping our infrastructure landscape and enhancing the efficiency and performance of our systems.

Role overview As Engineering Manager for Applied AI & Platform at norm-ai in New York City, this position leads a team dedicated to bringing artificial intelligence into the company’s platform products. The manager sets direction for projects, supports the technical development of engineers, and plays a key role in shaping the vision for how AI will influence future product offerings. What you will do Guide engineers as they develop and integrate AI technologies into core platforms Oversee project planning and execution to ensure initiatives match company objectives Provide technical leadership and mentorship to help the team achieve strong results Work with stakeholders to define the technology roadmap and platform strategy

Join Anthelion CapitalAnthelion Capital is an innovative investment firm dedicated to creating a cutting-edge AI and data platform that streamlines the entire investment lifecycle, from underwriting to portfolio management. Our platform harnesses both structured and unstructured data, advanced analytics, and automated workflows to achieve exceptional, risk-adjusted returns in private credit and structured finance.As a team of engineers and investors, we are committed to transforming how institutional investment decisions are made—ensuring they are executed faster, smarter, and with greater transparency.Your RoleWe are seeking a talented Machine Learning Infrastructure/Platform Engineer to develop the foundational systems that support our data science and AI platform.You will engage with the underlying infrastructure that drives our ML and AI workflows, including data pipelines, orchestration, compute provisioning, model serving, and observability. Additionally, you will be instrumental in operationalizing our agentic AI platform, ensuring agents are efficiently hosted, monitored, and integrated into production-level systems.Key ResponsibilitiesData Pipelines & OrchestrationDesign, implement, and manage robust production data pipelines that process and deliver structured and unstructured data to downstream ML workflows.Take ownership of our Prefect-based orchestration framework, focusing on flow scheduling, error management, retry mechanisms, and human-in-the-loop (HITL) workflows.Build and oversee feature stores, data contracts, and promotion workflows to guarantee data quality and traceability from raw ingestion to model consumption.Collaborate with data scientists to convert experimental workflows into reliable and repeatable pipelines.ML/AI Infrastructure & DeploymentEstablish and maintain scalable infrastructure for model training, retraining, and inference (both batch and real-time), including GPU compute provisioning and container orchestration.Implement and oversee model serving infrastructure, such as containerized endpoints, API gateways, and self-service deployment frameworks for the data science team.Deploy and manage monitoring systems to track model performance, data drift, prediction usage, and pipeline reliability.Ensure all deployed systems are highly available, resilient, and well-documented, with clear data lineage and operational runbooks.Agentic AI Platform & ToolingAssist in the development and operationalization of agentic AI workflows, including agent hosting, lifecycle management, and integration with Model Content.

As the financial sector evolves, the integration of AI becomes essential. At Endex, we are pioneering this transformation by developing advanced digital coworkers tailored for financial services. Our mission is to connect today’s capabilities with the future of finance, collaborating closely with esteemed research institutions.Joining our infrastructure team, your expertise in deployment and security will be crucial in guaranteeing the reliability and protection our investment partners expect. You may be the right candidate if you possess:Experience in designing and implementing secure deployment pipelines within regulated, high-security, or on-premises environments.A passion for creating scalable and resilient infrastructure solutions.A drive to enable workflows that empower product teams to innovate rapidly while maintaining stringent security standards.Become part of our innovative team as we redefine the landscape of financial analysis tools, fundamentally changing how investment firms operate and compete.

About Amperos HealthAmperos Health stands at the forefront of revolutionizing revenue cycle management (RCM) for healthcare clinics, enabling them to optimize revenue collection efficiently and swiftly. Established in 2023 and supported by notable investors such as Uncork, Neo, Nebular.vc, and strategic angels from industry leaders like OpenAI, Stripe, and Twilio, our mission is to transform the relationship between healthcare providers and payers. We envision an AI-driven workforce that alleviates administrative workload and accelerates the financial return for healthcare professionals.About the RoleAs our inaugural Infrastructure Engineer, you will spearhead the development of our infrastructure at Amperos. You will manage DevOps, enhance developer experience, ensure compliance, and oversee observability and monitoring within our AWS environment. This role presents exciting challenges associated with AI infrastructure, and you will have the chance to mold and lead your team as we expand.Key ResponsibilitiesEstablish and maintain the infrastructure to support Amperos' growth trajectory.Enhance and optimize AWS infrastructure, boosting development efficiency and creating modular engineering frameworks.Develop systems that expedite the deployment of AI features and enhance observability of large language models (LLMs).Minimize AWS expenditures while improving visibility into infrastructure costs.Lead initiatives related to security and technical compliance, including VPNs, firewalls, and network configurations.Candidate ProfileA minimum of 5 years of experience in leading infrastructure teams within top-tier organizations.Ability to identify key ROI infrastructure challenges from the outset and develop a strategic roadmap for enhancements.Proficient in leading engineering discussions and articulating the impact of infrastructure projects.Adaptable and willing to take on diverse roles as needed; no task is too small.Demonstrates high agency, with the capability to produce results with minimal guidance.Excellent verbal and written communication skills; proactively shares vital information with the team.Passionate about leveraging technology to address challenges in an underserved industry.

Join a pioneering team of ex-Google engineers who have successfully developed some of the most significant defensive platforms in the world, including Safe Browsing and reCAPTCHA. We are venturing into uncharted territory to combat a pressing challenge: effectively thwarting the rising tide of adversarial AI attacks that threaten organizations today.With a market potential exceeding $5B, we are poised for disruption. Conventional detection methods are lagging behind; adversaries are utilizing AI to devise sophisticated and evasive attacks, rendering outdated rules-based systems ineffective.Your Mission:You will architect a constellation of AI agents that are swift, cost-effective, and highly precise in their ability to detect and neutralize emerging threats. Your role involves creating the orchestration layer that enables a diverse array of agents to collaborate effectively in threat investigation. Additionally, you will be Aegis’ go-to expert for model selection, customization, and strategic implementation, leveraging your extensive hands-on experience in quantizing, pruning, distilling, serving, and orchestrating models on a large scale.Why This Challenge Is UniqueModels evolve at a rapid pace. What proved effective yesterday may become obsolete by tomorrow.Our adversaries are intelligent — and they are advancing. We are engaged in a real-time battle against AI-powered attackers who are crafting tailored, evasive payloads.There is no established playbook. As threats evolve, we are developing new detection paradigms at an accelerating pace. The stakes are high, and you will be actively involved from day one.If you thrive on challenging problems and value rapid feedback, this is the perfect opportunity for you.Why We Will SucceedThe market is vast — with over $5B in potential and fast growth — and industry incumbents are too sluggish to adapt.We have a proven track record. Our team has previously built core technologies behind Safe Browsing (over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.This is our third venture into building a category-defining security business. We possess the expertise to scale both technology and our organization effectively.AI and security are integral to our identity. We incorporate these elements into our foundation from day one.We attract top talent. Most of our team members ranked in the top 1% of engineers at Google — if you excelled in your previous role, you will feel right at home here.

Join 10alabs as an MLOps / Infrastructure Engineer, where you will play a crucial role in streamlining the deployment and management of machine learning models. Collaborate with cross-functional teams to build robust infrastructure that supports scalable and efficient AI solutions. Your expertise will help us enhance our platform and drive innovation.