Вакансии

Location: United States About the Role Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Inpatient Medical Coding Specialist with an active CCS or CIC credential to contribute to a project focused on improving the accuracy and clinical understanding of advanced AI systems. You will review and annotate inpatient medical records, assign and validate ICD-10-CM and ICD-10-PCS codes, determine principal and secondary diagnoses, and verify MS-DRG assignments. You will apply official inpatient coding guidelines, identify documentation gaps, and provide expert feedback on complex coding cases. The ideal candidate has hands-on inpatient coding experience, strong knowledge of UHDDS, POA indicators, CC/MCC classification, and current coding standards, and exceptional attention to detail. Prior AI experience is not required. SENIORITY: Experienced / Specialist LANGUAGE: Strong written and verbal English LOCATION: Remote — United States Key Responsibilities Annotate and review inpatient medical records, including admission notes, progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries. Assign accurate ICD-10-CM and ICD-10-PCS codes based on clinical documentation and applicable coding guidelines. Identify principal and secondary diagnoses and sequence codes according to official inpatient coding conventions. Assign Present on Admission (POA) indicators and validate MS-DRG assignments, including the identification of Complications or Comorbidities (CCs) and Major Complications or Comorbidities (MCCs). Apply UHDDS definitions, ICD-10-CM/PCS Official Guidelines for Coding and Reporting, and relevant AHA Coding Clinic guidance. Identify hospital-acquired conditions (HACs), patient safety indicators, and documentation inconsistencies where applicable. Collaborate with project stakeholders to clarify coding requirements, resolve documentation ambiguities, and maintain data integrity. Provide structured feedback on coding guidelines, complex cases, and recurring errors to support workflow improvements and AI model training. Ensure all coding annotations are accurate, complete, consistent, and aligned with current coding standards. Requirements Active AHIMA Certified Coding Specialist (CCS) or AAPC Certified Inpatient Coder (CIC) credential. Hands-on experience with inpatient medical coding. Strong knowledge of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology. Understanding of principal diagnosis selection, secondary diagnosis reporting, code sequencing, POA indicators, CC/MCC classification, and applicable inpatient coding guidelines. Experience reviewing clinical documentation and resolving complex coding challenges. Strong written and verbal communication skills. Excellent attention to detail and the ability to apply coding rules consistently. Access to current ICD-10-CM/PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools.

Тестирование веб платформы: Проверка работоспособности, корректности работы бизнес-логики и сценариев переходов . Валидация того, как платформа обрабатывает созданные пользователем сущности и связи между ними;

2+ years of professional software engineering. Code merged into a public open-source repository, ideally one you know well.

We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer.

– уверенный SQL и опыт моделирования витрин; – ежедневную работу с Claude Code и понимание, где ему нельзя верить;

— строить витрины в PostgreSQL и Vertica: от сырых выгрузок до готовых метрик. — описывать семантический слой в YAML: измерения, меры, источники.

Роботизация бизнес-процессов с помощью технологии Robotic Process Automation (далее — «RPA»). Высшее образование (предпочтительно в сфере ИТ);

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for Software Engineers to help train and evaluate next-generation AI models on real-world software engineering tasks. You will assess AI-generated code for correctness, quality, and design, create challenging programming problems with verified reference solutions, and evaluate model reasoning across architecture, debugging, and system design. This role is ideal for technically strong professionals who can identify engineering flaws and provide clear, actionable feedback to improve AI performance. SENIORITY: Mid-Senior LANGUAGE: Strong written English Key Responsibilities Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design. Create challenging coding problems, verified reference solutions, and comprehensive test cases. Review AI reasoning on software architecture, debugging, algorithms, and system design. Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses. Provide detailed technical feedback and explanations to help improve AI model performance. Apply consistent evaluation criteria to ensure accurate and reliable assessments. Requirements At least 3 years of overall professional experience in Data Science or Software Engineering. At least 1 year of professional experience at a leading technology, finance, or research company. A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom. Strong programming and software engineering fundamentals. Ability to evaluate code correctness, identify bugs, and assess software design decisions. Strong analytical thinking and the ability to solve complex technical problems. Excellent written English and the ability to communicate technical feedback clearly.

Deliver Salesforce stories from a discovery-ready backlog through production, including tests and release notes. Build and maintain Flows, Lightning Web Components, and Apex functionality on a bi-weekly delivery cadence.

Требования: — Опыт участия во внедрении систем планирования поставок, производства или цепей поставок (Supply Chain) — Знание принципов Supply Chain Planning: баланс спроса и предложения, пополнение запасов — Опыт разработки или настройки решений на low-code платформах — Уверенное понимание реляционной модели данных и SQL О компании: Проект планирования сети поставок (In.Plan). Условия: Загрузка ~160 ч/мес, длительность от 3 месяцев с возможностью продления.

Location: Remote, Canada; Remote, United States 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 As a Senior Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD 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 .

Вакансия предполагает работу системным аналитиком и разработчиком с использованием low-code платформ в области планирования цепочек поставок (Supply Chain Planning). Требуется специалист уровня Middle+ или Senior, обладающий навыками системного анализа и разработки. Проект ориентирован на B2B-сферу, работа выполняется удаленно по территории России и стран СНГ.

Қазақстанда алғаш рет корпоративтік IT-мамандарға арналған Vibe Coding чемпионаты өтеді. Задачи: — Жасанды интеллектке тапсырманы дұрыс қойып, алгоритмдік есептерді тиімді промпт арқылы шешу. Требования: — Қатысушылар 22 жастан асқан корпоративтік IT-мамандар болуы. — Соңғы 5 жылда спорттық бағдарламалау бойынша жарыстарға қатысу тәжірибесі болмауы тиіс. — Әр компаниядан 2 бағдарламашы қатысуы керек. Условия: — Формат: офлайн дуэльдер, Double Elimination. — Командалар саны шектеулі. — Жүлде қоры — 1 000 000 ₸. — Үздік компания AlgoBatyr Cup корпоративтік кубогына ие болады. — Өткізу мерзімі: 2 қазан — чемпионат, 3 қазан — марапаттау. — Өткізу орны: Астана қаласы. Как подать заявку: 1. cpfed.kz платформасында тіркелу. 2. Командадағы екінші қатысушының тіркелгенін тексеру. 3. AlgoBatyr тіркелу формасын толтыру және логиндерді көрсету.

— быстро собирать прототипы и рабочие продукты; — искать нестандартные технические решения;

Задачи: — Изучить платформу обучающего приложения, затем настраивать и расширять его функционал — Создавать функции, интеграции и автоматизации с использованием AI-инструментов кодирования, таких как Claude, Cursor, Copilot и Grok — Превращать нечеткие запросы от производственных и офисных команд в рабочие решения — Документировать свою работу для удобства использования и поддержки другими — Регулярно предоставлять четкие отчеты о прогрессе Требования: — Опыт профессиональной разработки ПО не менее 3 лет — Уверенные навыки AI-поддерживаемого кодирования: умение формулировать запросы, проверять и исправлять AI-сгенерированный код — Быстрая обучаемость новым платформам и кодовым базам — Опыт работы с API, веб-приложениями и интеграциями (предпочтительно JavaScript/TypeScript или Python) — Отличное письменное владение английским языком и постоянная коммуникация — Возможность пересекаться минимум 4 часа в день с часовым поясом восточного побережья США Плюсом будет опыт работы с LMS или обучающими платформами, а также в производственной или регулируемой индустрии.

Задачи: — Собирать сайты от брифа/макета до работающего проекта на Vercel — Лендинги и сайты на 5–10 страниц, часто RU/EN — Анимации на скролле, инфографика, эффекты, видеофоны, интерактив — Формы с отправкой в Telegram, аналитика, sitemap, техническое SEO — Оптимизация скорости и Core Web Vitals — Адаптив и проверка на реальных устройствах Требования: — React, Next.js, TypeScript, JavaScript, Tailwind CSS — HTML5 / CSS3, адаптивная и кроссбраузерная верстка — Git, Vercel, Vite — AI-инструменты каждый день: Claude Code, Cursor, Codex, GitHub Copilot, ChatGPT или аналоги — Умение проверять и дорабатывать код AI, а не принимать результат модели на веру — Хороший визуальный вкус и внимание к деталям — Английский от B1 — 2–3 живых сайта, собранных вами самостоятельно Будет плюсом: GSAP, Framer Motion, Three.js, WebGL, Node.js, REST API, Supabase/Postgres, Figma, техническое SEO (schema.org, hreflang, IndexNow), опыт с авторизацией и оплатой. Условия: — Проектная работа, не штат — Полностью удалённо, можно из любой страны — ГПХ с самозанятыми или ИП — 40–60% бюджета проекта — Обычно 40 000–225 000 ₽ за проект — Смету видите полностью — Клиент оплачивает каждый этап до начала работы — Правки сверх сметы оплачиваются отдельно, ваша доля сохраняется — Искать клиентов и продавать не нужно — Доступ к нашим компонентам, анимациям, фонам и настройкам для AI-разработки

Задачи: — Реализовать отображение актуальных остатков товаров из МоегоСклада на страницах сайта на Tilda, где карточки товаров собраны на отдельных Blank page с использованием Zero Block. — Обеспечить динамический вывод статуса наличия товара («много», «мало» или точное количество). — Реализовать возможность оформления заказа прямо с кастомной страницы, включая добавление товара в корзину Tilda или передачу заказа напрямую в МойСклад/CRM. Предполагаемое решение: — Возможно использование HTML-кода или скрипта на странице с привязкой ID/артикула товара к МоемуСкладу. — Готовы рассмотреть предложения по реализации задачи. Требуется: — Опыт работы с Tilda и интеграциями с МоимСкладом. — Умение решать нестандартные задачи с использованием no-code/low-code решений. Просьба присылать в личные сообщения описание подхода к реализации, оценку стоимости и сроков, а также опыт работы с похожими задачами.