Разработка вакансии

Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar We are looking for an experienced Data and AI Architect to lead the development of enterprise data architecture and integrate AI and MLOps capabilities. The role will focus on enabling trusted analytics, scalable AI solutions, and strong data architecture and governance practices across the organization. Key Responsibilities Lead the development and evolution of the enterprise data architecture, incorporating AI and MLOps capabilities. Design scalable and robust data architectures to support analytics, AI, and business requirements. Enable the trusted and effective use of enterprise data for analytics and AI solutions. Establish and maintain data architecture and governance practices across the organization. Support the scalable deployment and integration of AI solutions within the enterprise. Collaborate with business, technology, data, and AI teams to align architecture with organizational objectives. Requirements Requirements Bachelor’s degree in Computer Engineering or an equivalent qualification. 15+ years of relevant professional experience in data architecture, enterprise architecture, AI, or related fields. Strong experience in enterprise data architecture and data governance. Knowledge of AI architecture and MLOps and their integration with enterprise data platforms. Experience designing scalable data and AI solutions for enterprise environments. Strong communication, stakeholder management, and technical leadership skills.

Location: Ukraine; Kazakhstan; Georgia; Armenia; Poland Crystalia Glass LLC is a leading supplier of premium glass and aluminum structures for residential and commercial projects across The USA. Our clients include SpaceX, Nike, Starbucks, Bank of America, Yves Saint Laurent, and many others. The company was founded in 2017 in New York and is rapidly growing. We have offices in Los Angeles, Florida, and Texas, and our projects are implemented throughout the United States. We are looking for a CAD Engineers Team Lead for Interior glass partitions / Glass production with Russian (C1+) and English (B2+) Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - B2B contract (sole proprietorship status or corporate entity). - Remote work. Key Responsibilities: Operational Management: Daily review of active projects in ClickUp, distributing workloads, monitoring task execution, and tracking strict project deadlines. Quality Assurance & Review: Controlling drawing quality, checking project documentation, and ensuring compliance before final delivery. Technical Mentorship: Mentoring project engineers on complex/non-standard projects, participating in node development, and leading daily/weekly team syncs. Process Standardization: Customizing and maintaining workspaces in Slack/ClickUp, building internal document templates, and updating working groups. Reporting: Preparing weekly and monthly progress and efficiency reports of the department for the Head of Engineering. Working with measurements, sketches, and diagrams (Imperial system) USA. Requirements English language- B2+ ; Russian/Ukrainian language - C1+ Confident proficiency in core engineering software AutoCAD 2D, Solidworks 3D or similar. Higher technical education (Civil Engineering, Mechanical Engineering, or a relevant engineering degree). Solid experience and a deep understanding of core engineering design principles. 2–3+ years of experience working as a project engineer with a proven track record of successfully executing complex engineering projects. Strong background working with task management systems and time-tracking software. Experience in developing internal onboarding/training materials (video instructions, checklists, technical templates) to optimize department workflows. Ability to analyze and optimize design solutions in terms of cost, time, and resources. Ability to work independently, make firm technical decisions, and proactively resolve operational bottlenecks. Ability to work with project documentation at various stages of development, including sketches, working drawings, and final specifications. Proven experience interacting with cross-functional departments (Project Managers, Estimators, CQO, Suppliers, Manufacturing, and Site Installation teams) to clarify technical requirements and resolve conflicts. Benefits Full-time, remote work. 8-hour workday without flexability 8:30am - 5:00pm EST ( NY time zone). Collaboration format: B2B (individual entrepreneur or Corporate Entity). Paid Vacation: For the first year - 5 days; for the second year and after - 10 days. Engaging projects designed in the Imperial (US) system. In-house training and mentorship programs.

Location: Poland; Romania; Slovenia; Slovakia; Greece; Portugal Intetics Inc. , a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team. Project Responsibilities Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal. Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework. Design and implement memory, context management, and RAG architectures for production use. Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release. Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications. Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry. Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products. Candidate's Portrait We are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation. 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments. Strong background in Machine Learning, Python development, or Data Science. Self-driven, innovative, and continuously learning emerging AI technologies. Must-Haves 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer. Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI). Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents. Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK . Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent. Strong experience with production-grade RAG, memory, and context engineering, including: Embeddings Chunking strategies Hybrid search Reranking Vector databases Short-term and long-term agent memory Practical experience implementing agentic patterns such as: ReAct Planner-Executor Reflection Router Supervisor Multi-Agent Systems Human-in-the-Loop Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis. Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications. Hands-on experience with Docker and CI/CD pipelines. Nice-to-Have Experience in fintech, trading, investing, brokerage, or cryptocurrency-related products. Background in regulated industries with strong requirements around compliance, data protection, and AI output auditability. Broader AWS or Azure cloud expertise beyond AI services. Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas , or custom evaluation pipelines. Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.

Переход предприятий холдинга на типовое решение 1С ЗУП КОРП из 1С ЗУП ПРОФ и 1С Фреш, 1С КА. Основная работа с конфигурацией 1С: ЗУП КОРП - доработка, администрирование, сопровождение и т.д.

разработка и совершенствование систем с frontend-компонентами (дизайн-системы, системы администрирования СберБанк Онлайн); выстраивание микромодульной архитектуры frontend-приложений для внутренних рабочих мест;

Разрабатывать и поддерживать backend компоненты микросервиcов на Go для нашей платформы; Проектировать API (gRPC / REST) и взаимодействовать с базами данных и брокерами сообщений (MongoDB, PostgreSQL, Redis, Kafka);

- PHP/Laravel — от 5–6 лет коммерческой разработки. - Глубокое знание Laravel: очереди, события, service container, Eloquent.

Разработка новых сервисов по ТЗ. Исследование проблем текущих сервисов и их развитие.

Опыт разработки SPA-приложений с использованием фреймворка Angular от 2х лет. Знание и опыт работы с TypeScript 2.

Писать детальные спецификации для AI-агентов: Вы будете определять архитектурные решения и создавать технические спецификации на естественном языке (через соответствующие инструменты), по которым ИИ-агенты станут генерировать production-ready код. Минимум 6 месяцев ЕЖЕДНЕВНОЙ работы с Cursor/Cline, Claude, Codex, OpenCode или иной средой AI-разработки.

Настройка 1С: Бит строительство и Бухгалтерии. Контроль работы программы 1С;

помогать команде переводить интерфейсы зарплатного проекта на новую дизайн-платформу Triplex Next. исправлять несложные дефекты (баги) и покрывать их тестами.

Автоматизация группы компаний на базе программных продуктов 1С8 (ДО, Клиент ЭДО, Итилиум). Расширение и развитие используемого функционала.

Проектировать и реализовывать новую функциональность в системе NAV с учётом требований к масштабируемости и поддерживаемости кода; Обеспечивать стабильную работу текущего функционала: проводить доработки, устранять дефекты, оптимизировать производительность;

Разработка алгоритмов решения поставленных задач. Создание, отладка, оптимизация программного кода на уровне программных модулей и межмодульного взаимодействия.

Разработка и оптимизация фронтенда для платформы финансовых инструментов; Разработка API для взаимодействия с бэкендом;

От 3 лет. в роли 1С‑аналитика/разработчика с фокусом на ERP/ЗУП/УПП;

Взаимодействие с заказчиком: сбор и уточнение требований, выявление реальной потребности, презентация решения, управление ожиданиями; Анализ и проектирование задач: декомпозиция потребности на задачи, оценка трудоёмкости, оформление проектного решения (описание, схемы, инструкции);