Разработка вакансии

Задачи: — участие в международном проекте в роли Senior Backend Developer Требования: — уровень английского языка B2+ — опыт разработки на Python для backend — опыт работы с Prompt Engineering — настройка Agentic AI, предпочтительно LangChain — опыт работы с Agent Skills и Tools — знание SQL и Snowflake — опыт работы с Cortex Analyst — опыт работы с Text-to-SQL / Intent-to-SQL Желательно: — опыт работы с DeepEval — опыт инструментирования MLflow — навыки настройки производительности и оптимизации затрат — опыт работы с кэшированием метрик и предагрегацией — опыт в DataOps / Data Platform — понимание архитектуры семантического слоя — опыт работы в фармацевтической коммерции Условия: — удалённая работа из Европы — полная занятость — долгосрочный проект

• проектировать архитектуру и принимать технические решения; • самостоятельно писать код и участвовать в разработке;

Own the technical strategy for complex Enterprise opportunities from initial discovery through POV, onboarding, and the customer's first 30 days. Lead POVs end to end by defining meaningful success criteria, building the technical delivery plan, coordinating internal teams, troubleshooting issues, and keeping execution on track.

Build and support execution-engine components: Implement, test, debug, and maintain well-defined changes to query operators, expression evaluation, execution scheduling, and resource management.

-Проектирование и разработка интерфейсов и сервисов. -Мы проектируем и разрабатываем инструменты для настройки подключений и датасетов, создания графиков и дашбордов.

-Опыт коммерческой фронтенд-разработки от 5 лет, из них от 2 лет в роли Senior. -Опыт проектирования архитектуры сложных фронтенд-приложений и принятия ключевых технических решений.

— Разработка и поддержка AI-архитектуры: интеграция API (OpenAI, Anthropic), создание кастомных RAG-систем, оптимизация промптов и пайплайнов данных. — Быстрое UI/UX прототипирование: самостоятельное создание аккуратного, чистого фронтенда/интерфейса для разработанной вами AI-логики (работаем без лишних звеньев, напрямую в продукт).

– Разработка и доработка собственной WMS на 1С. – Автоматизация складских процессов.

- Глубокие знания и практический опыт с 1С Розница на уровне ведущего разработчика. - самостоятельно по ТЗ и по описанию процессов решать задачи.

Задачи: — Создание ИТ-фундамента: сформировать целевую архитектуру предприятия и дорожную карту развития с учетом этапов строительства, пусконаладки, валидации и выхода на плановую мощность. — Обеспечить учет ИТ-требований при проектировании серверных, сетей, систем связи, резервирования, безопасности и инженерной инфраструктуры. — Организовать выбор, внедрение и интеграцию систем классов ERP, MES, LIMS, QMS, WMS, SCADA и других решений для производства, качества, лаборатории и складской логистики. — Управлять ИТ-планом готовности, тестированием, приемкой, миграцией данных, обучением пользователей и переходом систем в промышленную эксплуатацию. — Выстроить эффективную работу с проектным офисом, производством, качеством, инженерной службой, автоматизацией, корпоративным ИТ и поставщиками. — Обеспечить соответствие компьютеризированных систем требованиям GxP/GMP, CSV/CSA, data integrity и change control. — Совместно с подразделением качества организовать валидацию систем, управление рисками, подготовку документации и сопровождение аудитов. — Создать модель защиты IT/OT-инфраструктуры: сегментация сетей, управление доступами, защита удаленных подключений, резервное копирование, мониторинг и реагирование на инциденты. — Обеспечить контролируемый доступ подрядчиков и безопасное взаимодействие с корпоративной инфраструктурой холдинга. — Сформировать сервисную модель ИТ-поддержки: Service Desk, каталог услуг, SLA/OLA, управление инцидентами, проблемами и изменениями. — Обеспечить бесперебойную работу производственных, лабораторных, складских и офисных сервисов после запуска. — Разработать и протестировать планы Business Continuity и Disaster Recovery для критичных систем. — Организовать мониторинг, резервирование и техническую поддержку с учетом режима работы производства. — Сформировать ИТ-стратегию и портфель цифровых проектов предприятия. — Развивать автоматизацию производства, электронные записи, интеграцию систем, аналитику и решения для повышения эффективности. — Управлять CAPEX/OPEX-бюджетом, оценивать TCO и ROI, контролировать договоры, лицензии и поставщиков. — Поэтапно сформировать внутреннюю ИТ-команду и обеспечить передачу знаний от интеграторов и подрядчиков. Требования: — Опыт не менее 5 лет на руководящей ИТ-позиции. — Опыт создания ИТ-функции или инфраструктуры с нуля. — Участие в создании нового производства, промышленного объекта, лаборатории или другой сложной технологической площадки. — Понимание IT/OT-инфраструктуры, сетей, серверов, резервирования, кибербезопасности и производственных систем. — Знание требований GxP/GMP, валидации компьютеризированных систем, data integrity и управления изменениями. — Опыт работы с URS, FAT, SAT, commissioning, qualification, UAT и go-live. — Опыт работы с бюджетами, поставщиками, системными интеграторами и распределенными командами. — Системное мышление, ориентация на результат, умение управлять рисками и сроками, выстраивать взаимодействие между ИТ, производством, качеством и инженерными службами. Условия: — Возможность строить карьеру в динамичной атмосфере лидирующей инновационной компании. — Программа гибких льгот — 3% от зарплаты на спорт, здоровье или путешествия. — Внутренние корпоративные скидки и привилегии — PrimeZone. — Корпоративный автомобиль и мобильная связь. — Программа поддержки сотрудников — консультационные услуги для решения жизненных проблем. — Доплата по больничному листу до 80%. — 5 дополнительных дней отпуска и 3 дня day-off в год.

-Разработка новой и доработка текущей функциональности. -Прорабатывать и реализовать интеграционные решения.

Выполнить адоп верстку на бс5, ссылка на макет выше, в процессе верстки добавим мобильнуюю версию макет.

🔎 Maqsad: Maqsadim — dasturlashga qiziqqan yoshlarni zamonaviy frontend yo‘nalishida o‘qitish, ularga amaliy bilim berish va kelajakda mustaqil dasturchi bo‘lishlariga yordam berish.

— PL/SQL и SQL от 3 лет. — DDL, индексы, триггеры, процедуры, пакеты, представления.

‼️ Qo`shimcha: Biz jamoamizga full stack mobile engineer qidirmoqdamiz, backend + ios/android ilovalarni mustaqil yuritish, optimizatsiya qilish va rivojlantirish.

• Leverage AI to design and build features across backend, web, Android, and iOS. • Collaborate with product managers to shape goals into solutions and own the end-to-end development.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows. EXAMPLE INITIATIVES Your team will work on these types of projects as part of our Inference Runtime team: - Agentic inference optimization: 50-90% faster engines https://www.baseten.co/blog/agentic-inference-optimization-faster-than-sota/ - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ RESPONSIBILITIES - Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews. - Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales. - Own the technical roadmap and execution for runtime performance work, balancing customer needs, new model launches and long-term platform investments. - Stay close to the technical work. Review designs, guide profiling and optimization efforts, and help the team reason from first principles about where time and memory go. - Drive the productionization of inference techniques such as quantization, speculative decoding, KV-cache reuse, chunked prefill and custom scheduling. - Turn performance wins into measurable outcomes: tokens per GPU-hour, utilization, latency and cost. - Help the team bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Partner with Infrastructure, Inference Platform, Kernels, Model APIs and customer-facing teams to set priorities, coordinate launches and ship wins. - Set high standards for engineering quality, benchmarking, operational excellence and incident response. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. - Experience managing engineers, including hiring, mentoring, giving feedback and running performance reviews. - Experience leading or closely supporting GPU optimization teams in training, inference or recommendation systems. - Strong technical depth in GPU workloads, with a solid understanding of GPU architecture and performance tradeoffs. - Familiarity with ML libraries such as PyTorch, TensorRT or TensorRT-LLM. - A track record of driving roadmaps and shipping complex technical projects with a team. - Clear written and verbal communication, including the ability to align stakeholders across teams. NICE TO HAVE - Familiarity with inference engines such as vLLM, SGLang or TensorRT-LLM. - Experience with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching) in production. - Experience with GPU kernels (CUDA, Triton, CUTLASS, or similar). - Experience scaling a team through rapid growth at a startup. - A background as a hands-on performance or systems engineer before moving into management. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create and deliver technical content, from engineering deep dives to executive briefings Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers Strong programming skills with proficiency in Python or TypeScript and experience building production applications Hands-on expertise in one or more of the following domains: Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security) Cryptography and cryptanalysis Intelligence analysis and ISR (all-source, SIGINT, GEOINT) Mission and weapons systems (command and control, space, electronic warfare, autonomy) CBRN and nonproliferation Accreditation of classified systems (RMF, ATO, cross-domain solutions) Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach Preferred qualifications Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Experience deploying and operating software in air-gapped or classified environments Experience designing scalable cloud architectures and integrating with enterprise systems Background in artificial intelligence, machine learning, or data science Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.