Вакансии

Требуется системный администратор.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE ROLE As a core member of our Internal AI team, you will help Rain build leverage and become AI-native. This role sits at the intersection between building and enablement. You will work across teams to fix bottlenecks with AI agents, apps, and workflows and empower those teams with the capabilities to do the same. This is a cross-disciplinary role for a high agency problem-solver. You will use your expertise in product, data, and vibecoding to drive improvements that will help us accelerate as we scale. Finally, you will support Rain’s foundational AI systems, tooling, and other primitives that will compound our growth over time. WHAT YOU'LL DO - Diagnose & Prioritize: Proactively audit workflows across teams to identify the highest-impact automation and AI opportunities. Translate business pain points into a prioritized roadmap with clear ROI. - Build & Ship: Design and deploy AI-powered agents, apps, and workflows using a mix of code/no-code tools. Own solutions end-to-end from prototype to production. - Drive AI Adoption: Partner with teams to build an AI-first culture. Run enablement sessions, create documentation, and build internal champions who sustain long-term impact. - Establish Operational Rigor: Define success metrics for every initiative. Track performance, measure adoption, and demonstrate business impact. Iterate based on data and feedback. - Support Rain’s AI Foundations: Develop the core primitives — documentation, skill/agent libraries, standard operating procedures, and governance frameworks — that enable Rain to build and deploy AI agents and tools easily and reliably. WHO YOU ARE - AI Native Builder. Deep and demonstrated experience using AI to build, ship, and accelerate work. You can take an ambiguous problem and ship a working solution without waiting for an engineering team. - Strong technical fluency. You are fluent with low-code/no-code and development tools (Claude Code, Cursor, etc.), SQL & BI tools, APIs, scripting, and integrations. - Analytical and empathetic problem-solver. You can partner with teams to understand challenges, use data to prioritize opportunities, deliver results, and measure impact. - Excellent communicator. You can manage expectations, maintain alignment, across competing priorities. You can translate technical concepts for non-technical stakeholders and translate business requirements into technical specs. - Systems builder. You naturally create clarity out of chaos — writing SOPs, building templates, defining standards, and structuring knowledge so that humans and agents can build on your work. - Comfortable with ambiguity and speed. You thrive in fast-paced startup environments where priorities shift and you need to figure things out on the fly. You have high agency and don't wait to be told what to do. - 3–6 years of experience in product management, product ops, forward deployed/solutions engineering, technical program management, or a similar role where you have solved problems with technical solutions. NICE TO HAVE - Experience at a Series A–C startup or high-growth startup company (or former founder) - Familiarity with compliance, finance, or payments workflows - Experience with workflow orchestration and integration architecture (webhooks, auth flows, data pipelines) - Background in change management or internal enablement programs - Experience with data platforms (Google Cloud, DBT) or data modeling - Track record of driving measurable adoption of internal tools or processes - Experience building internal knowledge bases, technical SOPs, or developer-facing documentation THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Mexico- Nuevo Laredo, Tamaulipas Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Actualmente tenemos una vacante como: Tecnico en Mantenimiento Predictivo Responsabilidades Recolección de datos, análisis y elaboración de reportes para actividades de mantenimiento predictivo utilizando tecnologías como termografía, ultrasonido, análisis de vibraciones y análisis de aceite . Desarrollar planes de implementación y cronogramas para la aplicación de técnicas de mantenimiento predictivo. Implementar, procedimientos de mantenimiento preventivo y predictivo. Elaborar reportes profesionales Requisitos: Carrera técnica: Mecánica Industrial, Mantenimiento a Máquinas, Electromecánica, Mecatrónica, o carreras afines Especialidad Eléctrica/Electrónica : Mínimo 2 años de experiencia en diagnóstico y mantenimiento de equipos de planta, con énfasis en sistemas eléctricos y electrónicos. Sólidos conocimientos de conceptos básicos mecánicos e hidráulicos relacionados con máquinas-herramienta, así como un excelente entendimiento de diagnóstico de maquinaria. Especialidad Mecánica : Mínimo 2 años de experiencia en análisis de vibraciones, operaciones con láser, alineación de maquinaria y mantenimiento general de máquinas-herramienta. Experiencia en diagnóstico de equipos mecánicos, hidráulicos y neumáticos complejos, además de conocimientos básicos de circuitos eléctricos. Envia tu CV o whastapp al  811 611 6900 ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Задачи: — Проводить глубокие исследования в конкретных областях для улучшения понимания влияния AGI. — Создавать карту потенциальных исходов. — Строить и совершенствовать инфраструктуру измерений и оценки.

• Подготовка и проверка управленческой и клиентской отчётности, расчёт доходности портфелей (MWR/TWR), дюрации.

Location: Москва Сбер начинает работу над квантовым компьютером и аналоговыми вычислителями. Мы предлагаем вам присоединиться к команде Центра Квантовых Технологий Сбера, чтобы решать самые интересные задачи на переднем крае науки и технологий. Сейчас мы ищем руководителя команды ML разработчиков. Его основной целью станет планирование и реализация R&D задач с целью делать инференс и обучение большинства современных ИИ архитектур на аналоговых процессорах от ЦКТ. Исследования включают в себя поиск новых архитектур моделей, работу с числовыми форматами, а так же совместный дизайн моделей и вычислительных устройств. Обязанности * Искать и изобретать направления работы по применению современных моделей ИИ на аналоговых ускорителях Это касается адаптации существующих и изобретения новых моделей ИИ, а так же ко-дизайна моделей ИИ и аналоговых вычислителей * Планировать R&D работы Центра в области машинного обучения и ИИ Организовывать работу команды опытных AI инженеров и аналитиков * Самостоятельно проводить исследования в области разработки AI моделей и их адаптации к аналоговым вычислителям * Координировать работу своего подразделения с другими командами Центра и Банка Требования Мы ждём, что вы: * Обладаете опытом управления R&D командами в области ИИ от 3 лет * Имеете подтвержденный успешный опыт внедрения результатов исследований, полученных под вашим руководством, в продакшен * Обладаете прекрасным навыком управления, формулировки и защиты идей и результатов исследований * Обладаете глубоким пониманием современных архитектур нейросетей и можете изменять их для решения свих задач (есть примеры проектов, где вы это успешно делали) * Имеете хорошее знание о направлении современных работ в области развития архитектур нейросетей * Имеете сильный математический бэкграунд уверенно пишете код и готовы работать руками Условия * Возможность выбрать удобный график – офис или гибрид (локация: м. Тульская) * Ежегодный пересмотр зарплаты и годовая премия * Корпоративный спортзал и зоны отдыха * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

Location: Москва Сбер начинает работу над квантовым компьютером и аналоговыми вычислителями. Мы предлагаем вам присоединиться к команде Центра Квантовых Технологий Сбера, чтобы решать самые интересные задачи на переднем крае науки и технологий. Обязанности * оценивать точность и производительность моделей разных архитектур на аналоговых ускорителях * адаптировать архитектуры сетей к особенностям аналоговых ускорителей тестировать новые подходы к разработке ML алгоритмов * участвовать в ко-дизайне оптических аналоговых ускорителей и алгоритмов машинного обучения * создавать платформу для бенчмарков архитектур аналоговых ускорителей и нейросетей Требования Мы ждём, что вы: * обладаете глубоким пониманием современных архитектур нейросетей и можете изменять их для решения свих задач (есть примеры проектов, где вы это успешно делали) * имеете хорошее знание о направлении современных работ в области развития архитектур нейросетей * занимались разработкой и экспериментами с архитектурой нейросетей или их квантизацией * имеете сильный математический бэкграунд * уверенно пишете код на python Дополнительным плюсом, будет, что вы: оптимизировали алгоритмы под конкретные архитектуры вычислителей имеете опыт проектирования компиляторов прошли университетский курс общей физики имеете опыт проведения исследований и публикации научных статей Условия * возможность выбрать удобный график – офис или гибрид (локация: м. Тульская) * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

Location: United States- Bellwood, Illinois Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs expert level break-fix & preventive maintenance, and/or design of mechanical, and electrical equipment improvements as well as complex systems as the employee’s job specialty requires. Provides troubleshooting support on equipment and technical support on production lines as appropriate for the employee’s job specialty. Maintains in-depth technical knowledge of numerous systems as the employee’s job specialty requires. Performs research and procedures as the employee’s job specialty requires. · Programs, troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes predictive equipment and interprets results for analysis, equipment condition assessment, troubleshooting and proactive maintenance. Including but not limited to infrared thermography, ultrasonic testing, power quality analysis, laser interferometry, ball bar, and vibration analysis. · Leads, drives and participates in CI activities--processes, results and cost savings using CI tools and methodology. · Identifies and sources parts, supplies and repair items as necessary. Suggests alternative items and engineered solutions to improve reliability. · Independently performs maintenance as per industry standards. · Complies with 5S and housekeeping standards. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Studies and investigates technical and systems methods, tools, and innovations that can be implemented in ATS sites to improve maintenance practices and updates documentation. · Prepares input for cost analysis for new equipment, repair/rebuild proposals, cost savings and innovations as required. · Updates records and reviews CMMS history and analyzes data. · Provides technical contents of sales quotations and performs T&M duties as required. · Trains and coaches less proficient technician. Assumes project manager responsibilities as assigned. · Completes and conducts on-the-job training and technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities, & Behaviors Required: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 7 years of related experience in specific industry; or, 10 years of experience in specific industry. · Proficiency in predictive technologies including vibration analysis or laser interferometer operations, precision alignments, and maintenance of applicable process equipment. · Understands electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use hand tools and specialized tools as appropriate. · May be required to travel. · Six Sigma experience desired. Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $102,970 — $131,689.52 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Что нужно делать Проверять платформу перед релизами и после изменений: проходить основные пользовательские сценарии, проверять заказы, оплату, коды, доступы и интеграции. Фиксировать ошибки, шаги воспроизведения, ожидаемый и фактический результат;

Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship How we hire Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion. We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.

Location: New Jersey; New York; Connecticut Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

- Администрировать и развивать серверную инфраструктуру на базе Windows и Linux; - Сопровождать физическое серверное оборудование, в том числе размещенное в ЦОД;

Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: USA Workplace: Remote Remote, worldwide · Freelance course project with a path to full-time We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera. We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models. This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks. How it works - It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months. - The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects. - A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course. - Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team. What you’ll do - Shape the course with the curriculum team: sections, lessons, labs and notebooks. - Write lab specs that a dedicated labs team builds, then test them. - Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you. - Record demo and lab-solution walkthroughs. - Work through structured editorial feedback, especially on your first section. Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching. What we’re looking for - Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow). - The ability to explain the “why” behind ML clearly to engineers new to it. - Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera. - A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it. - Current with the field and keen to keep learning. - Clear, engaging spoken English and confidence on camera. - Openness to an established teaching methodology and to editorial feedback. Nice to have - Published online courses, a book, or university/bootcamp teaching experience. - Experience with fine-tuning, MLOps or deploying models in production. - Cloud ML certifications (AWS, Azure, GCP, Databricks). How to apply Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.

Location: Warsaw, Poland; Serbia; Romania On behalf of AdTech Client #1 , SD Solutions is looking for a Senior AI Engineer to join Gen AI team within the Apps Engineering Group in Tel Aviv. You will join a team that is developing Nexxen's next-generation Conversational Agents, designed for seamless integration across our platforms. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Develop and implement innovative AI-driven solutions to advance platform capabilities. Work closely with different stakeholders, including developers, product managers, and business operations, to align goals and outcomes. Lead the development of Conversational Agents, from concept design to production deployment. Explore and research advanced AI technologies and integrate with external APIs and services. Lead and mentor other developers, providing guidance and expertise on complex projects. Requirements: BSc in Computer Science or related degree. 6+ years of experience in building customer-facing full-stack applications. 2+ years of hands-on experience with Python- a must! Deep understanding of large language model (LLM) core concepts and usage, including prompting and reasoning strategies - a must! Proficiency with SQL and NoSQL databases Experience in designing agentic workflows- an advantage Experience with Node.js, particularly Nest.js Experience with Langchain or Langraph - an advantage Excellent spoken and written English skills. Proactive, collaborative mindset with a passion for impacting engineering teams, products, and customers. About the company: A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

• Architect on‑prem & cloud data platforms. • Build data ingestion, pipelines & ETL/ELT.

What To Do: Conduct deep research into specific areas to improve our understanding of the impact of AGI, and create the map of potential outcomes; Build and refine measurement infrastructure and evaluation frameworks for a systematic evaluation of AGI.....

Location: Shanghai Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What your responsibilities will be: - Use the right methods, tools, technical skills and product domain expertise, to respond to questions and issues raised by customers with care, accuracy, patience and empathy across different channels such as email, phone or chat. - Work with Engineering and Product teams where necessary to escalate and resolve issues. - Prioritise and manage cases, documenting troubleshooting activity in a case management system. - Build technical domain expertise for Checkout products and operate as part of a diverse and international team. - Document your knowledge for the team by creating help articles for our internal knowledgebase. - Manage your time effectively as workload and priorities change through the day. - Proactively identify where an issue may require additional help or escalation. - Gain a deep understanding of Checkout’s products and processes by attending training, self-paced learning and practising and investigating things for yourself. - Build technical domain expertise. - Understand and adopt processes and give ideas where these could be improved. - Demonstrate Checkout’s values and be a team player. Qualifications What you will need to be successful (skills and competencies) - Demonstrable experience using technical skills to solve problems for customers in a support, solution engineering or similar role. - Ability to troubleshoot and solve issues using knowledge of internet technologies and technical processes ( SQL, HTML, SDKs, Scripting etc.). - You take pride in the quality of your work. - High emotional intelligence and curiosity. - Brilliant communication. - Flexibility to work on a rota covering some weekend days. - Fast learner, dependable and full of integrity. - Ability to focus in a busy environment. - Brilliant communication skills. - Fluent in Mandarin (Written and Spoken) - Enthusiasm, energy and positivity. Experience you will bring to the role - Education and learning in internet technologies or equivalent. - 2+ years of experience in a technical support role or equivalent. - Payments experience a plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/