Вакансии

Требования: — 4+ года коммерческого опыта в Data Engineering — Уверенное знание AWS: S3, Glue, Athena, Lake Formation/IAM, Lambda, Step Functions — Опыт построения data lake/lakehouse с нуля (Parquet, Iceberg/Delta/Hudi) — Python (PySpark) и продвинутый SQL

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them. KEY RESPONSIBILITIES: - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance. - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements. - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly. - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment. - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology. REQUIREMENTS: - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus. - 2+ years of hands-on experience building and shipping production agent systems. - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs). - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory). - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems. - Comfortable operating across the full spectrum from advisory to embedded delivery. - Willing to travel up to 20% of the time. NICE TO HAVE: - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL. - Experience with trace mining to drive continuous improvement loops COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Cheyenne, WY Project Engineer - Construction Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Help Deliver World-Class Mission-Critical Infrastructure The successful delivery of hyperscale data centers begins with transforming greenfield sites into fully developed mission-critical campuses through large-scale earthwork, utility installation, infrastructure development, logistics planning, and disciplined project execution. Project Engineers play a critical role in supporting project teams throughout this process, helping coordinate field operations, track project performance, manage documentation, support project controls, and ensure projects are executed safely, efficiently, and in alignment with customer expectations. At Michels Infrastructure Solutions (MIS) , we deliver some of North America's largest and most complex mission-critical and hyperscale infrastructure projects. As the general contracting and EPC delivery arm of Michels, MIS leverages the self-perform capabilities of the Michels Family of Companies to execute every phase of construction, from site development and utilities through power infrastructure, commissioning, and project closeout. Our teams support leading technology companies and developers by delivering the critical infrastructure required to power cloud computing, artificial intelligence, and digital connectivity. Known for tackling challenging scopes, aggressive schedules, and complex project environments, MIS combines the resources of a national EPC contractor with the accountability, agility, and hands-on leadership needed to successfully deliver world-class mission-critical facilities. Position Overview As a Project Engineer , you will assist in managing large-scale hyperscale data center and mission-critical infrastructure projects or independently manage smaller project scopes under the guidance of a Project Manager or Senior Project Manager. During the early phases of project execution, you will support large-scale site-development and infrastructure operations including land clearing, mass grading, earthwork, drainage systems, wet utilities, dry utilities, power infrastructure, logistics planning, and construction readiness activities. You will work closely with field leadership and project teams to help transform greenfield sites into fully developed mission-critical campuses. You will support all phases of project execution, including planning, scheduling, budgeting, procurement, contract administration, project controls, customer communication, quality management, and field coordination. This role serves as a key link between project management and field operations, helping ensure projects progress safely, efficiently, and in alignment with schedule, budget, and quality objectives. You will work closely with Project Managers, Superintendents, subcontractors, suppliers, customers, and internal stakeholders while developing the skills necessary to advance into future project leadership roles. Success requires strong organizational skills, attention to detail, communication abilities, and the capacity to make sound decisions in a fast-paced construction environment. Key Responsibilities Assist Project Managers with the successful execution of hyperscale data center and mission-critical infrastructure projects. Support planning and execution of large-scale site-development and infrastructure activities. Review project proposals, contracts, scopes of work, schedules, budgets, staffing requirements, and execution plans to develop a complete understanding of project requirements. Coordinate project activities with field leadership to help ensure projects remain on schedule and within budget. Support project scheduling, forecasting, budgeting, procurement, project controls, and resource planning activities. Assist with contract administration, customer communication, project documentation, and change management processes. Promote and maintain a strong culture of safety across all project activities. What You'll Do Assist in managing project execution from greenfield site development through final turnover and project closeout. Support field operations involving mass grading, earthwork, storm sewer, sanitary sewer, water systems, fire water systems, electrical ductbanks, telecommunications infrastructure, structural concrete, and power infrastructure. Coordinate with field supervision, subcontractors, suppliers, engineers, customers, and project stakeholders to support successful project delivery. Participate in the development and maintenance of project schedules, work plans, budgets, forecasts, staffing plans, logistics plans, and project tracking tools. Review project progress and assist with updating budgets, forecasts, schedules, production quantities, and performance metrics. Support contract administration activities including pay applications, RFIs, CORs, change orders, notices, project correspondence, and closeout documentation. Serve as a point of contact for customers, subcontractors, suppliers, and internal stakeholders regarding assigned project responsibilities. Participate in project coordination meetings, customer meetings, operational planning sessions, and schedule reviews. Assist project teams with procurement activities, subcontractor coordination, material tracking, equipment planning, and project controls processes. Support utility coordination, site-development phasing, logistics planning, and infrastructure sequencing efforts. Work collaboratively with estimating teams to develop historical performance data and support future project pursuits. Support QA/QC activities, testing procedures, inspections, commissioning support, utility turnover requirements, and project closeout efforts. Help identify project risks, develop solutions, and support successful project outcomes. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We provide exposure to every phase of project delivery, from greenfield site development and utility infrastructure through commissioning and turnover. We provide opportunities to work alongside experienced project and operations leaders executing some of the most significant infrastructure programs in North America. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer significant opportunities for advancement into Project Manager, Senior Project Manager, and Operations leadership roles. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You enjoy coordinating people, schedules, equipment, and resources to achieve successful outcomes. You enjoy solving complex field execution and infrastructure challenges. You are highly organized and capable of managing multiple priorities simultaneously. You take ownership of your work and thrive in a collaborative team environment. You want to learn from experienced project leaders and grow into a leadership role managing some of the most complex construction projects in North America. You want your efforts noticed and your contributions to have a meaningful impact. You want to work to make a difference. What It Takes Bachelor's degree and 3-5 years of related experience , or an equivalent combination of education and experience. Bachelor's degree in Construction Management, Civil Engineering, Engineering, Project Management, or a related field preferred. Experience supporting construction project management activities including scheduling, budgeting, forecasting, procurement, contract administration, project controls, and field coordination. Experience supporting heavy civil, site-development, utility, industrial, power, EPC, infrastructure, mission-critical, or data center construction projects preferred. Understanding of site-development construction activities including earthwork, underground utilities, drainage systems, utility coordination, logistics planning, and construction sequencing. Ability to review contracts, project scopes, schedules, budgets, and execution plans to support successful project delivery. Experience supporting customer communications, subcontractor management, project tracking, and project reporting activities. Understanding of construction scheduling, estimating, project controls, production tracking, and cost management principles. Experience with scheduling, estimating, and project controls software. Experience with Primavera P6, HCSS, B2W, Microsoft Project, Procore, Autodesk Construction Cloud, InEight, or similar platforms preferred. Experience supporting QA/QC processes, testing protocols, inspection activities, utility turnover requirements, and project closeout requirements. Strong verbal and written communication skills with the ability to effectively interact with customers, project teams, subcontractors, suppliers, and field personnel. Strong organizational, analytical, problem-solving, and decision-making skills. Ability to work independently while effectively collaborating with multidisciplinary project teams. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with the majority of work performed directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Задачи: — Развивать DWH HR-отчетности: участвовать в проектировании и масштабировании корпоративного хранилища данных — Интегрировать источники: собирать, очищать и консолидировать данные из учетных систем (в том числе SAP HCM/SAP BW) — Проектировать витрины данных: переводить требование бизнеса и топ-менеджмента в понятные технические алгоритмы и данные — Обеспечивать качество данных: внедрить процессы Data Quality и Data Governancе Требования: — Опыт работы в области DWH, ETL или Data Engineering – от 3 лет — Практический опыт проектирования и развития хранилищ данных — Уверенное владение Postgresql, MS Sql, Python (обработка данных, интеграции и автоматизации), Apache Airflow, Kafka, Git — Приверженность к Data Governance подход — Умение самостоятельно принимать решения, документировать их и доводить до промышленной эксплуатации — Понимание основных принципов хранения данных в SAP HCM / SAP BW будет преимуществом — Понимание требований BI систем к структуре и качеству данных будет преимуществом — Понимание основных метрик HR отчетности будет преимуществом Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо

Задачи: — Владение стратегическими и сложными корпоративными аккаунтами на всех этапах: привлечение, внедрение, адаптация, расширение и эскалация. — Ведение технической стратегии для сложных развертываний, решение неоднозначных технических проблем клиентов, тесное сотрудничество с командами аккаунтов для удержания, расширения и увеличения ценности для клиента. — Создание плейбуков, обучение коллег, разработка повторяемых решений и улучшение рабочих процессов команды Customer Engineering. — Использование AI-инструментов для ускорения создания контента, выявления закономерностей и обмена практическими находками. — Оценка состояния аккаунтов, рисков, отношений с заинтересованными сторонами и приоритетных проблем. — Ведение сложных взаимодействий с клиентами и достижение квартальных бизнес-результатов по здоровью аккаунтов, удержанию, расширению и техническим решениям. Требования: — 5-8 лет опыта в технических ролях, связанных с клиентами, таких как Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, внедрение, профессиональные услуги или архитектура решений. — Глубокий практический опыт с веб-технологиями: HTML, CSS, JavaScript и REST API, способность проектировать и устранять сложные фронтенд-реализации. — Опыт управления стратегическими корпоративными аккаунтами с участием руководителей высокого уровня, множеством приоритетов и сложными техническими или бизнес-требованиями. — Умение решать неоднозначные задачи с множеством переменных, ограничений и компромиссов. — Опыт связывать техническое исполнение с бизнес-результатами, такими как удержание, расширение, ROI и реализация ценности. — Практическое использование AI-инструментов для исследований аккаунтов, создания контента или автоматизации рабочих процессов с интеграцией в повседневную работу. — Опыт наставничества или коучинга младших технических сотрудников. Плюсы: — Опыт работы с Pendo, платформами цифрового внедрения, аналитикой продуктов или инструментами in-app experience в корпоративной среде. — Опыт мобильной разработки (Swift, Android, React Native). — Знакомство с архитектурой данных, AI или машинным обучением, продвинутой аналитикой. — Опыт создания повторяемых фреймворков, плейбуков или процессов, принятых широкой командой. Условия: — Удалённая работа с поддержкой западного побережья США. — Ожидаемый годовой доход (OTE) от $193,393 до $241,742 с соотношением базовой и переменной части 70/30. — Конкурентные льготы в США, включая покрытие с $0 премией, сильный 401(k) матч, акции и гибкий отпуск. — Компания равных возможностей, поддержка разнообразия и доступности для людей с ограниченными возможностями. Контакт для отклика отсутствует.

Задачи: — Разрабатывать, поддерживать и владеть ключевыми моделями компьютерного зрения для обнаружения мошенничества, формирующими продуктовую линейку Jumio. — Проектировать и внедрять методы машинного обучения, глубокого обучения и классического компьютерного зрения, ориентированные на выявление мошенничества. — Проводить исследования для поддержки внедрения передовых алгоритмов. — Развёртывать модели как AWS SageMaker endpoints или непосредственно на устройствах. — Следить за последними достижениями в области машинного обучения, глубокого обучения и компьютерного зрения, изучая академические публикации и посещая отраслевые конференции. — Работать в тесном сотрудничестве с инженерами и менеджерами продуктов в Agile-среде. Требования: — Степень бакалавра или магистра в области компьютерных наук, науки о данных, машинного обучения или смежных областях. — Минимум 6+ лет коммерческого опыта в области машинного обучения/глубокого обучения (не включая время обучения, 2 года с магистерской степенью). — Опыт обучения моделей глубокого обучения для обнаружения дипфейков, синтетических данных или данных, сгенерированных ИИ. — Глубокое понимание преобразования метрик машинного обучения в продуктовые цели. — Практический опыт работы с PyTorch или TensorFlow, SKLearn и разработки производственного кода на Python. — Опыт внедрения лучших практик мониторинга и поддержки моделей машинного обучения в продакшене. — Сильные коммуникативные и аналитические навыки. Желательно: — Опыт работы с LLM или VLM. — Опыт работы с генерацией изображений или видео. — Опыт работы с облачными платформами AWS и GCP. — Опыт работы в глобальных организациях с несколькими часовыми поясами. Условия: — Полная занятость. — Удалённая работа из Индии. О компании: Jumio — B2B технологическая компания, специализирующаяся на борьбе с онлайн-мошенничеством, отмыванием денег и финансовыми преступлениями, предоставляющая решения для онлайн-верификации личности, eKYC и AML с использованием ИИ, биометрии, машинного обучения и автоматизации. Контакт для вопросов по конфиденциальности данных: privacy@jumio.com.

Задачи: — Вести разработку и проектирование систем компьютерного зрения для биометрии (атрибуты лица, детекция, качество и распознавание). — Проводить тщательный анализ справедливости и бенчмаркинг биометрических моделей на различных наборах данных и условиях эксплуатации. — Архитектурно проектировать, обучать и оптимизировать модели с использованием PyTorch, Tensorflow и/или JAX. — Владеть и развивать сквозные ML-пайплайны от сбора данных до деплоя. — Проектировать автоматизированные пайплайны (Airflow) для сбора и очистки данных. — Курировать сбалансированные обучающие наборы и генерировать синтетические данные для устранения проблем с качеством и разнообразием. — Обеспечивать путь моделей до продакшена. — Оптимизировать модели для низкой задержки вывода (квантование, дистилляция, TensorRT/ONNX) и управлять деплоем на AWS. — Наставлять ML-инженеров, проводить ревью кода и дизайна, продвигать технические лучшие практики в команде компьютерного зрения. Требования: — Сильный опыт в машинном обучении, специализация в биометрии или анализе лиц. — Глубокие знания в компьютерном зрении и биометрии, особенно в распознавании лиц. — Понимание источников алгоритмического смещения и практический опыт измерения и смягчения разного воздействия. — Экспертное владение Python и библиотеками для машинного обучения и компьютерного зрения (Pillow, OpenCV, PyTorch и др.). — Умение писать чистый, модульный, готовый к продакшену код. — Опыт проектирования сквозных ML-пайплайнов и работы с оркестраторами рабочих процессов, такими как Airflow. — Практический опыт масштабирования обучающих задач на мульти-GPU кластерах и деплоя сервисов на AWS (SageMaker, EC2, EKS). Плюсы: — Публикации в CVPR, ICCV, ECCV или FG по темам распознавания лиц, оценки качества изображений или справедливости. — Опыт работы с векторными базами данных (Milvus, Faiss) и алгоритмами приближенного поиска ближайших соседей. — Знания в области приватности, безопасности и соответствия в биометрических системах. — Опыт портирования моделей на edge или мобильные устройства с использованием CoreML, LiteRT, TFLite. — Опыт генерации синтетических лиц с помощью GAN или диффузионных моделей. — Сильные коммуникативные навыки. Условия: — Полная занятость. — Удалённая работа из Индии. О компании: Jumio — B2B технологическая компания, специализирующаяся на борьбе с онлайн-мошенничеством, отмыванием денег и финансовыми преступлениями с помощью AI, биометрии, машинного обучения и автоматизации. Компания является лидером в области онлайн-верификации личности, eKYC и AML решений, работает с клиентами по всему миру в различных отраслях.

Задачи: — Владение AI-функциями от концепции до продакшена в высоконагруженной среде (50k RPS, 450M пользователей). — Работа с LLM и обучение специализированных моделей для приложений в реальном времени. — Тесное сотрудничество с продакт-менеджерами для реализации эффективных решений. — Оценка производительности моделей и адаптация подходов на основе реальных данных. Требования: — Опыт разработки ПО 5+ лет с практической работой в ML/AI. — Подтверждённый опыт работы с LLM: контекстная инженерия, использование инструментов и адаптация моделей. — Сильные навыки обучения кастомных моделей на сложных производственных данных. — Владение Python и PyTorch, понимание практик продакшен-инжиниринга. — Английский язык на уровне Intermediate или выше. Желательно: — Опыт обработки видео/аудио в реальном времени. — Знакомство с рекомендательными системами и онлайн-экспериментами. — Знание Docker, Kubernetes, GCP и инфраструктуры машинного обучения. Условия: — Конкурентная зарплата, бонусы и опционы (все являются партнёрами). — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Офис в центре Лимассола с питанием и командной культурой. — Медицинская страховка (100% для сотрудника, 75% для семьи). — Возможности профессионального роста и корпоративные семейные мероприятия. Формат работы: офис, Лимассол.

About the job: QV.AC is a general purpose AI assistant that runs locally on your devices, giving people real control over their data and AI usage without cloud dependency or data harvesting. The focus is on local, on-device, privacy-preserving AI connected across Tether's peer-to-peer ecosystem. Responsibilities: Engineering: — Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping. — Set and hold a high engineering bar for performance, reliability, and clean APIs. — Own the technical design of features and the API surface between the AI core and the app. — Ensure close collaboration with AI research and deep tech teams on code reviews, design, and anything involving models or inference. Product Partnership: — Work alongside product managers to turn vision and roadmap into scoped, buildable work. — Push back when scope and reality don't match and propose better paths. — Bring an engineering perspective to product decisions, especially regarding local AI model capabilities and limitations. — Help the team move fast using AI tools and quick prototypes to validate ideas before commitment. Leadership: — Create clarity around team goals and define success. — Mentor team leads to build strong operating systems, improve collaboration, and grow as leaders. — Lead by example: actively contribute when needed and step back when teams are ready to own their work. Mandatory Requirements: — Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps. — Strong product sense to distinguish good features from busywork. — Intuition for applied AI and on-device constraints such as model size, latency, memory, battery, and the gap between demos and reliable features. — Heavy use of AI tools in own work and enthusiasm for experimenting with new models and capabilities. — Deep knowledge of JavaScript and React. — Initiative, curiosity, resilience, and ability to give and receive direct critique. Preferred: — Experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source. Work format: — Remote work from anywhere in the world. Additional information: — Recruitment scams warning and official application channels provided. — Official careers page: https://tether.recruitee.com/ — Communication only via official company emails ending with @tether.to or @tether.io. — No requests for payment or financial details during hiring. — Candidates encouraged to mention the word EXTOLL when applying to confirm they read the job post fully.

Компания ищет Senior Data Engineer для удалённой работы по московскому времени, который возьмёт на себя развитие нового контура DWH / Lakehouse и станет ответственным за хранилище данных от начала до конца. В задачи входит перенос текущей аналитики на новую Lakehouse-архитектуру, развитие DWH от источников данных и их загрузки до создания детального слоя и витрин, работа с технологиями dbt, Airflow, Trino, Iceberg, S3 и ClickHouse, проектирование моделей данных с использованием Data Vault, а также организация процессов Data Quality, CI/CD и надежного перехода от разработки к продакшену. Необходимо оптимизировать SQL-запросы, пайплайны и производительность хранилища. Требования включают минимум 3 года опыта в Data Engineering, опыт полного владения хранилищем данных от источников до витрин, уверенные навыки SQL и production-уровня Python, опыт работы с dbt в продакшене, практический опыт с Airflow, Dagster или Prefect, глубокое знание хотя бы одной MPP или колоннарной системы (Trino, ClickHouse, Greenplum, Spark и др.), а также понимание методологий Kimball, Data Vault и/или Anchor Modelling.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Service Desk Engineer to join the Corporate Technology team. This role is hands-on and requires the ability to handle various problems with expertise and exceptional judgment while working with end-users at the highest level within organizations. The ideal candidate will have excellent problem-solving skills, familiar with remote trouble shooting techniques, and the ability to give clear technical instructions. Responsibilities Provide end-user assistance, issue resolution, installation, troubleshooting and restore services in support of applications, computer systems, peripherals, and devices. Perform user access provisioning and deprovisioning. Assist in the testing and deployment of new systems, platforms, and applications. Prepare hardware and software for new employees. Perform root cause and impact analysis to investigate corporate application issues and make recommendations for potential solutions. Document incidents and tasks in the corporate ticket management system. Participate in calls after hours to provide resolutions to employees. Qualifications 3+ years of recent end-user technical support experience 3+ years of experience of Microsoft cloud-related technologies (O365, OneDrive, Exchange) 3+ years of experience in desktop technologies (Windows, MS Office) Familiarity and experience with VDI environments Experience with PowerShell, Mac OSX, and/or A/V systems is a plus Experience with ServiceNow is a plus Excellent written and verbal communication skills Strong time management and the ability to prioritize tasks Able to thrive in a fast-paced environment and work effectively under pressure Benefits The base salary range for this role is $70,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote, USA Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Legal Systems Engineer to build, customize, and connect the systems behind our contracting, procurement, and revenue operations. This role will sit within the Legal team while supporting systems and workflows that span the broader organization. You will work across Ironclad, Ramp, HubSpot, and other business-critical tools, partnering closely with Legal, Finance, RevOps, Sales, and other cross-functional teams. This is a hands-on individual contributor role for someone who can combine strong technical systems expertise with sound operational judgment. You will own integrations, workflows, automation, reporting, release processes, and secure AI connections across the business systems that support how Higgsfield operates.   What you'll do: - Own the design, build, and ongoing improvement of Ironclad intake forms, workflows, approvals, templates, clause libraries, and data across every agreement type Higgsfield signs. - Manage Ironclad users, permissions, and SSO to ensure confidential and privileged information remains appropriately restricted. - Maintain system documentation and establish scalable processes for ongoing administration and support. - Troubleshoot system issues, manage vendor escalations, and train users across teams. Build Integrations and Automation - Build and maintain integrations between Ironclad and HubSpot, Ramp, Hex and other business systems. - Use the Ironclad API and other integration tools when native connectors do not meet business requirements. - Build reliable integrations with appropriate monitoring, error handling, retries, and operational visibility. - Identify opportunities to automate manual workflows across Legal and other business functions. Build Reporting and Operational Visibility - Develop contract and SLA dashboards covering turnaround times, backlog, contract value, renewals, and expirations. - Improve data quality and consistency across connected business systems. - Build reporting that gives Legal and business teams clear visibility into workflow performance and operational priorities. - Partner with stakeholders to ensure systems data can support day-to-day decision-making. Own Release and Change Management - Run a disciplined release process across business systems, including testing, owner sign-off, scheduled releases, and release notes. - Coordinate system changes across stakeholders to minimize disruption and maintain reliability. - Establish repeatable standards for testing, deployment, and documentation as systems become more complex. Build Secure AI Connections - Build secure AI connections to Ironclad and other business systems. - Partner with Legal and technical stakeholders to identify practical ways to use AI and automation across business workflows. - Ensure AI-enabled integrations appropriately account for access controls, confidentiality, and system permissions. Requirements: - 5+ years of experience in Legal Systems or a similar technical operations role. - 5+ years of experience building in Ironclad - Proficiency with Python or JavaScript/TypeScript, SQL, REST APIs, webhooks, and OAuth. - Demonstrated experience building reliable integrations with monitoring, error handling, and retry logic. - Familiarity with contracts and sound judgment when handling confidential and sensitive information. - Strong ownership and the ability to work independently in a fast-moving startup environment. - Strong cross-functional communication skills and the ability to work effectively with Legal, Finance, Sales, and technical teams. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role based in the United States, with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Virtualization team provides scalable on-premises compute for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Senior Engineer for our Virtualization team who will help guide the design and implementation of a new OpenStack-based virtualization platform. In this role you will help guide key architectural decisions for this platform, set engineering standards, identify and eliminate risks, and ensure optimal performance and cost-efficiency. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Virtualization platform. Relentlessly automate repetitive manual tasks. Design, implement, and manage OpenStack clouds, including deployment, configuration, and maintenance of OpenStack components. Diagnose and rectify complex problems involving multiple teams related to OpenStack including compute, storage, and networking issues. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help investigate outages, set a high standard for operational and technical excellence. Ability to troubleshoot and resolve critical production issues in a high-intensity trading environment as part of an on-call rotation. Your background: Expert level proficiency in administration of OpenStack. Deep knowledge of networking, storage, Linux, and virtualization fundamentals. Proficiency with industry-standard IAC tooling (e.g. Terraform, Ansible). Scripting/Coding experience in multiple languages (e.g. Python, Golang, Bash). Experience maintaining/deploying/configuring server hardware and deploying virtual machines. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics. You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with VMWare ESXi. Experience with Containerization / Kubernetes. Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Bangalore, India; Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, People technology never stands still, and as a People Systems Engineer, you’ll build what keeps it moving. Reporting to the Senior Director, People Technology, and working alongside our Lead People Systems Engineer, you’ll design, build and maintain the automations, integrations and AI-powered workflows that connect Workday, Greenhouse, Slack and the tools that power our global workforce. You’ll own features from request through tested code, deployment and ongoing reliability across Workato, Google Cloud and Claude. With an AI-forward mindset, you’ll rethink how People work gets done, eliminating manual effort and creating streamlined, delightful experiences for team members. If you think like a software engineer, love solving puzzles and want to grow your career at the intersection of people systems, AI and automation in an all-remote, async-first environment, this is your role. What You’ll Do Build, test and maintain People system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, owning your features from design through deployment. Develop integrations between Workday, Greenhouse, Slack and internal tools using Workday Web Services (WWS) and Slack’s API and Bot SDK, and build Slack apps and bots that turn manual steps into simple, automated workflows for team members around the world. Write clean, readable automation code in Ruby or a comparable scripting language, stored and versioned in GitLab, with clear documentation and peer code reviews. Keep pace with a high-growth company by monitoring integration health, troubleshooting failures quickly and fixing root causes so our automations stay reliable at scale. Ship changes safely through GitLab CI/CD pipelines, following testing, change-management and Sarbanes-Oxley (SOX) IT general controls (ITGC) standards with care. Lead with AI: use AI tools, large language models (LLMs) and Model Context Protocol (MCP) frameworks, including Claude, every day to accelerate development, prototype AI agents and reimagine how People work gets done, then share what you learn so the whole team moves faster. Look past the surface of a request to find the real problem, then recommend and build solutions that are durable, scalable and easy to support. Partner with People Technology Analysts on configuration, testing and releases, and with Information Security, IT and AI Engineering on security and standards. Raise the bar for how automations are architected, documented and maintained, learning from and contributing alongside our Lead People Systems Engineer. What You’ll Bring Hands-on experience building automations or integrations, ideally with human resources or business systems. Experience writing and maintaining code in Ruby or a comparable scripting language, such as Python or JavaScript, and a willingness to learn Ruby if you haven’t already. Hands-on experience with Workato or a comparable integration platform as a service (iPaaS) in a production environment. Experience working with APIs and web services, including REST and SOAP, and an understanding of how data moves between systems. Proficiency with Git for version control and code review; you treat automation code like production software. A forward-thinking, AI-forward mindset: you use AI tools every day to automate tasks, speed up development and improve processes, and you’re energized by what AI makes possible next. The ability to work independently, solve problems with curiosity, come with options and a recommendation, and collaborate openly. You protect highly confidential information and take ownership of code quality, reliable outcomes and the end user’s experience. Additional relevant experience includes Workday integrations (WWS, Reporting as a Service or Workday Studio), Slack apps or bots, CI/CD pipelines, Google Cloud Platform or Amazon Web Services, Docker or Kubernetes, building with LLMs, AI agents or MCP frameworks, SOX ITGC controls, Greenhouse, Serval, Google Workspace, or all-remote and asynchronous work. A related computing degree or equivalent experience is also welcome; none of these is required. About the team The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Los Angeles, USA; Mercer Island, USA; Redwood City, USA Riot’s Anti-Cheat team is versatile and passionate about our craft. We understand the player impact of cheating in games and are focused on setting the highest bar for the integrity of multiplayer games. We relish the opportunity to work with new tech stacks and bring security to all of Riot's games; each with its own security risk profile and complex challenges. At the most fundamental level, our goal is to promote the best player experience by protecting the legitimacy of their favorite games. As an Anti-Cheat Engineering Manager for Mobile Vanguard,  you will lead the team responsible for the ongoing development and evolution of Vanguard Anti-Cheat’s services on mobile. You’ll help set direction, shape priorities, and ensure the team delivers secure, reliable capabilities across Vanguard’s mobile suite in a timely manner. While your primary focus will be enabling the team and driving outcomes, your strong fluency in mobile security and cheat techniques will allow you to guide architecture, challenge technical decisions, and step directly into complex debugging or investigations when needed. You’ll help the team anticipate and analyze emerging cheat techniques, then translate those findings into effective detections, mitigations, and preventative controls. You will report to the Senior Engineering Manager of the Anti-Cheat  team. Responsibilities: Manage, identify, recruit, interview, and hire engineers to help the team scale effectively Set direction and drive high-impact anti-cheat capabilities from ambiguity through production to prevent cheating in mobile and console environments Lead the team in rapidly translating emerging threats into resilient detections and preventative countermeasures that can be safely deployed at scale Balance immediate threat response with proactive technical investments that anticipate adversaries’ next moves or eliminate common abuse vectors entirely Partner with game teams across genres to understand their specific security needs and help shape the security landscape Promote secure coding standards and design that reduce vectors for cheating Keep up-to-date with the state of cheats and cheating techniques across mobile titles Support game teams directly in understanding cheating ecosystems and integrating Anti-Cheat Required Qualifications: Minimum 4+ years of industry experience Familiarity or experience with Android and/or iOS platform security models Deep technical understanding of mobile platforms (Android/iOS) Experience building and deploying mobile native (C/C++) SDKs and/or frameworks Desired Qualifications: Experience with Android and/or iOS build tools (Android SDK/NDK, Xcode, LLVM) Familiarity with Android & iOS executable formats, reverse engineering, or binary exploitation Experience with mobile reverse engineering tools (Frida, IDA Pro, Radare2, etc) Experience with Gen9 Console (Xbox Series XS and/or PS5) development a plus Experience with macOS platform and security features a plus For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. ABOUT THE TEAM The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform. ABOUT THE ROLE As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions. You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape. You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor. WHAT YOU’LL DO - Co-architect and co-build production AI agents with federal engineering teams and system integrators - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.) - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences - Partner with security teams to navigate ATO processes and accreditation pathways - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes WHAT YOU’LL BRING - Must have zctive or prior U.S. security clearance (Secret, TS/SCI) - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators - Strong Python and JavaScript fundamentals, with deep systems thinking - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.) - Comfort operating in regulated environments with security, compliance, and documentation requirements - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership - Ownership mindset — you take responsibility for mission outcomes, not just recommendations - Bias toward action and comfort operating in ambiguity - Excitement about running AI agents in real-world, production federal environments — not just building demos NICE TO HAVE - Experience deploying AI systems in classified or air-gapped environments - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6) - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.) - Production experience with LangChain, LangGraph, or similar agent frameworks COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $185,000–$300,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$300,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000-$315,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.