Разработка вакансии

• Анализ финансовых показателей работы магазинов и принятие мер по улучшению деятельности магазинов. • Координация работ по открытию, закрытию и реконструкции магазинов.

• Руководство филиалом. • Развивать B2B-продажи IT-решений и услуг компании.

Опыт работы с фреймворком Express. Опыт работы с Sequelize или другими ORM.

Разработать стратегию развития компании. Перестроить и организовать эффективную работу офиса.

As Engineering Lead, Conversational Platforms, you will be playing an active part in the hands-on process of building software and managing your own team. Working with other engineering teams to identify and anticipate changing requirements and opportunities to improve the development environment.

Location: New York, NY Workplace: OnSite 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. 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. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms - Annual salary range: $200,000- $250,000 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.

Synthesia is looking for a Senior Solutions Engineer French Speaker to lead technical presales discovery, demonstrations, POCs, and solution design.

Nscale is looking for a VP Design and Engineering APAC to lead data centre design, engineering delivery, technical standards, and project execution across APAC.

Runway is looking for a Prototype Researcher to design and build experimental AI experiences, prototypes, and demonstrations that communicate emerging research capabilities.

Runpod is looking for a Technical Program Manager Software Engineer to lead cross-functional cloud-platform programs, manage technical risks, and deliver reliable platform changes.

под руководством ментора разрабатывать и поддерживать оркестрацию агентов на LangGraph: реализовывать узлы графа, работать с состоянием и условными переходами. писать и улучшать скиллы и инструменты (tools) для агента: интеграция с внешними HTTP API, валидация результатов по JSON Schema, простые ReAct-подграфы.

проектировать и реализовывать backend слой агентной платформы. разрабатывать обёртки и сервисы для запуска и управления AI агентами.

разработка бэкенда на Python в рамках проекта ГигаПульс.

Разработка концепций коммерческих и общественных интерьеров в команде. Подготовка проектной и рабочей документации в Revit: стадии П / РД, раздел АИ.

разработка back-end части автоматизированной системы с учетом требований безопасности, отказоустойчивости, времени отклика и т.п.

Управлять командой DS и MLE: управлять бэклогом, развивать компетенции, проводить найм и растить сотрудников; Формировать стратегию и дорожную карту развития AI-решений для Управления зарплатных проектов;

Проектировать и разрабатывать масштабируемые backend-сервисы на Go. Проектировать схемы данных, шину событий и API (gRPC, REST) для межсервисного взаимодействия.

Разрабатывать веб-интерфейсы: как внутренние системы (админ-панели, аналитические дашборды, тяжелые таблицы), так и внешние клиентские продукты с фокусом на UX/UI, плавные анимации и внимание к деталям. Проектировать масштабируемую архитектуру клиентского приложения с четким разделением UI, бизнес-логики и работы с API.