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Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   ABOUT THE ROLE We're looking for a Senior Tech Recruiter to own our most important and hardest technical searches across Engineering, ML & Research, Data, Infrastructure, and Security. You'll partner closely with technical leaders to hire senior engineers, researchers, and technical leaders who can operate at the frontier of generative AI. You'll also bring structure and market expertise that help the wider team hire better.   WHAT YOU'LL DO - Own full-cycle recruiting for senior and hard-to-fill technical roles across Backend, Frontend, ML, Research, MLOps, Data, Infrastructure, and Security. - Partner with technical hiring managers to define role requirements, candidate profiles, and interview processes. - Build talent maps of top engineering and ML teams in the region and internationally. - Proactively source passive senior candidates through LinkedIn Recruiter, GitHub, technical communities, referrals, and AI sourcing tools. - Screen candidates for technical depth, seniority, motivation, and product impact. - Lead offer conversations and close senior candidates who are weighing competing offers. - Advise hiring teams on talent availability, compensation, and market conditions. - Keep pipelines, scorecards, and role context accurate and up to date in Ashby. - Share sourcing strategies and market insights with other recruiters on the team.   YOUR MUST HAVES - 5+ years of technical recruiting experience, including senior and leadership-level hires. - Proven track record hiring senior Software Engineers, ML Engineers, Researchers, or Data professionals. - Solid understanding of modern engineering and ML teams, including infrastructure, model training, data systems, and production environments. - Strong sourcing skills with experience engaging passive senior candidates. - Proven ability to close candidates in competitive offer situations. - Ability to earn the trust of senior technical leaders as a recruiting partner. - Experience using Ashby and LinkedIn Recruiter. - Excellent written and verbal English and Russian.   NICE TO HAVES - Experience hiring for AI, ML, generative media, or high-growth startups. - Existing network among engineers and researchers in Kazakhstan, the CIS, or Europe. - Experience using AI sourcing and automation tools. - Experience hiring for security or other niche technical profiles.   THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Backend Software Engineer at Assistant Vice President level. You will design, build, and operate services that power the iCapital platform.You will collaborate with engineers, product managers, and technical partners throughout the development lifecycle. Our service-oriented platform primarily uses Scala, Ruby, and Python, but prior experience with these languages is not required. We value strong engineering fundamentals and the ability to learn new technologies. Responsibilities • Design, build, test, deploy, and maintain cloud-based services and APIs. • Translate product and business needs into practical technical solutions. • Own projects from design through production rollout and ongoing support. • Write maintainable code and contribute to technical design decisions. • Participate in code reviews and improve engineering standards. • Build testing, observability, security, and operational readiness into services. • Use AI-assisted development tools responsibly to improve delivery, investigation, and learning. Qualifications • 6+ years experience with a modern programming language such as Ruby, Scala, Python, Java, or TypeScript. • 4+ years experience building or integrating with APIs and backend services. • Knowledge of relational or NoSQL databases and data modeling. • Familiarity with automated testing, version control, and modern software delivery practices. • Understanding of cloud application development and distributed systems. • Strong problem-solving, collaboration, and communication skills. • Experience using AI-assisted development tools to plan work, refine specifications, delegate tasks, and validate implementation quality. Benefits The base salary range for this role is $100,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Проект: Корпоративный продукт (ритейл), ~500 пользователей. Условия: от 6 мес., полная занятость, локация РФ (гражданство РФ). Оформление: по договору ИП. Стек: React 19, TypeScript, TanStack Router/Query/Table, Zustand, Tailwind CSS, монорепозиторий. Что важно: • Ключевое: практика с LLM и coding-агентами (анализ, генерация, проверка, передача контекста). Подтвержденный опыт в проектах! Ответственность за код — на разработчике. • Глубокое знание JS/TS: типы, асинхронность, browser runtime, разбор сложного legacy-кода. • Уверенный React: hooks, стейт, роутинг, server state, loading/error, оптимизация рендера. • Web: HTTP, REST, браузерные API, кеш, авторизация, безопасность, производительность. • Frontend-архитектура: поток данных, границы модулей, переиспользование, зависимости. • Решение проблем: лишние рендеры, большие таблицы/деревья, объёмы данных, сеть, сложный стейт. • Проектирование API-контрактов с backend (ошибки, частичные данные, обратная совместимость). • Тесты (unit/component/integration), Git, code review, CI/CD, feature toggles. Личные качества: Самостоятельность, инициативность, высокий драйв, инженерное мышление, скорость без потери качества, понимание бизнес-ценности, видение результата, а не закрытых задач. Задачи: Полный цикл: требования → решение → проектирование → разработка → тесты → релиз → проверка. Работа со сложными интерфейсами (таблицы, деревья, формы, диаграммы), code review, диагностика production, ускорение разработки через AI/LLM и автоматизацию.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Software Engineer II, you will design, build, and improve reliable cloud services that power critical automation capabilities across the UiPath platform. You will work on backend systems that need to scale, perform consistently, integrate with other platform services, and support customers across cloud, on-premises, and hybrid environments. WHAT YOU'LL DO AT UIPATH - Design, develop, test, and maintain backend and cloud-native services used across the UiPath platform. - Build scalable, secure, reliable, and high-performing distributed systems, with a focus on long-term maintainability. - Work on technical challenges related to scalability, availability, performance, observability, incident prevention, and multi-environment deployments. - Collaborate with product managers, engineers, architects, and other teams to deliver solutions aligned with customer and platform needs. - Contribute to system design, technical planning, code reviews, automation, and engineering best practices. - Identify bottlenecks, production issues, technical debt, and improvement areas, and drive practical solutions with strong ownership. - Engage directly with customers on technical calls to diagnose and resolve issues end to end. WHAT YOU'LL BRING TO THE TEAM - 3+ years of software engineering experience, with strong backend development experience. - Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go. - Good understanding of distributed systems, microservices, APIs, cloud-native architecture, and system design. - Experience building production-grade services in cloud environments such as Azure, AWS, or GCP. - Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, and observability. - Strong understanding of data structures, algorithms, multithreading, asynchronous programming, and performance considerations. - Experience with relational and/or NoSQL databases, messaging systems, or event-driven architectures. - Ability to write clean, well-tested, maintainable code and contribute to strong engineering practices. - Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus. - Knowledge of cloud networking, especially in Azure (for example VPN Gateway, Private Link and ExpressRoute), is a plus Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Задачи: — Разработка и развитие production LLM/AI-систем и AI-агентов. — Построение многошаговых agentic workflows: routing, tool calling, state management. — Работа с prompt- и context-engineering, управление памятью и состоянием диалога. — Реализация structured output и function/tool calling. — Создание RAG-пайплайнов: chunking, embeddings, retrieval, reranking. — Интеграция LLM с API, базами данных и внутренними сервисами. — Разработка backend на Go и AI-компонентов на Python. Требования: — Умение собирать LLM-систему целиком — от prompt/context logic и агентов до backend, интеграций и запуска в production. — Основной стек — Go для production-backend и высоконагруженной логики, Python для AI-инфраструктуры и прототипирования. — Опыт построения agentic workflows, управления состоянием диалога и памяти. — Понимание RAG, embeddings, retrieval и reranking. — Навыки тестирования и оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge. — Умение выбирать модели с учётом качества, latency и стоимости. — Анализ логов и трасс для повышения стабильности.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We're looking for a Senior Frontend Engineer to join our payments team and help build and evolve our Checkout experience. Checkout is the final step in a mobile game purchase — the interface where players around the world complete payments every day. It operates across 200+ countries and supports 130 currencies, 25 languages, and 100+ payment methods. Its performance, reliability, and UX directly impact payment success rates, conversion, and revenue. KEY RESPONSIBILITIES - Build and improve Checkout: add new payment flows, payment methods, and third-party SDK integrations. - Build a fast, simple, mobile-first interface that works well across browsers, WebViews, and in-app browsers, including on low-end devices and slow networks. - Improve Checkout performance and stability by finding bottlenecks and fixing issues in key user flows. - Use product data and experiments to find friction in the Checkout funnel, test ideas, and improve conversion. - Investigate production issues using logs, traces, product events, and metrics, and work with APIs and backend services when needed. - Take part in technical decisions and code reviews and help maintain frontend code quality. REQUIRED QUALIFICATIONS - 5+ years of professional frontend development experience with strong TypeScript and React skills. - Strong understanding of browsers, networking, and mobile web. - Experience improving web performance, including FCP, LCP, profiling, bundle size, and resource loading. - Experience building payment or other transactional flows, such as checkout, subscriptions, wallets, or payment SDK integrations. - Strong debugging skills and ability to investigate problems beyond the frontend layer. - Ability to own your work from implementation and release to stable operation in production. PREFERRED QUALIFICATIONS - Experience in fintech, payments, e-commerce, gaming, or other consumer products with a large mobile audience. - Understanding of payment concepts such as 3DS, payment statuses, saved payment methods, declines, and refunds. - Understanding of frontend security, including CSP, iframe security, and PCI scope. - Ability to read Go or Python and understand backend logic and APIs. - Experience using AI tools in day-to-day development. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Задачи: — Автоматизация тестирования на Java. — Тестирование mobile и web приложений. — Тестирование Rest API. — Работа с SQL и NoSQL базами данных на уровне сложных запросов и выгрузок (join, View и др.). — Покрытие новых функциональностей с помощью инструментов автоматизированного тестирования на Java. — Интеграционное тестирование. — Работа с CI/CD системами (Jenkins, GitLab CI). — Работа с брокерами сообщений (Kafka, RabbitMQ и аналоги). — Работа с мок-сервисами (Wiremock или аналоги). — Написание библиотек и инструментов для автоматизации тестирования. — Применение процессов и методологий разработки ПО. — Работа с системами на микросервисной архитектуре (Spring Cloud, Kubernetes, Openshift или аналоги). — Развертывание инфраструктуры. — Работа с системами кэширования (Redis, Hazelcast). Требования: — Опыт работы в QA от 4 лет. — Опыт автоматизации тестирования на Java от 2 лет. — Опыт тестирования mobile и web приложений от 2 лет. Условия: — Формат работы: офис в Санкт-Петербурге. — Соотношение web и mobile тестирования: мобилка + веб. — Соотношение backend и frontend тестирования: 80% / 20%. — Соотношение ручного и автоматического тестирования: 70% ручное, 30% автоматическое. Используемые инструменты: Docker, Jenkins, Kubernetes, SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket, Docker Compose.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Professional/ Senior Fullstack Software Engineer (all genders) to join our new Integrations & Partner Enablement team in Noida. The team connects TeamViewer products to the enterprise systems our customers run on, such as ERP, warehouse management (WMS) and manufacturing execution (MES) systems, and gives partners the tools to build integrations on their own. You will own integration features end to end, shape technical direction for our SDKs and integration templates, and act as a technical reference and mentor in the team. The work is mostly backend, with web frontend work on our extension tools. You will work closely with engineering and product teams in Europe. Design, build and maintain our Connector SDK, integration templates and backend services using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build web extensions and tooling with React and TypeScript. Drive design decisions for scalable, secure and reusable integrations, applying event-driven and API-first principles. Design data mapping and transformation between our products and enterprise systems such as SAP, WMS and MES. Turn customer-specific integrations into standard, configurable templates. Write developer documentation, samples and guides for partners and system integrators, and support them technically. Drive testing strategy across the stack (unit, integration, contract, end-to-end) and contribute to CI/CD pipelines. Drive adoption of AI-assisted development in the team: set good practices, share workflows and keep quality high. Mentor other engineers, lead code reviews and promote engineering best practices. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 6+ years of professional experience in software development across backend and frontend, with a track record of leading technical topics. Strong backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Solid experience with React and TypeScript. Strong experience with enterprise integration: REST APIs, data mapping and transformation, event-driven integration and messaging. Good understanding of authentication and authorization standards such as OAuth 2.0 / OpenID Connect. Experience with relational and NoSQL databases. Experience with Git, CI/CD, automated testing, Docker and cloud platforms (Azure or AWS). Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on how to use them responsibly in a team. A consulting mindset: able to understand a customer process and turn it into a reusable, standard solution. Experience mentoring engineers and working in agile teams. Good working-hours overlap with Central European Time. Fluent in English (spoken and written). Nice to have Background in SAP consulting or a systems integrator, or at a product company with an integration platform or SDK (e.g. iPaaS, WMS or MES vendors). Experience with SAP integrations (e.g. SAP EWM, SAP S/4HANA, OData, BAPI/RFC, IDoc, SAP BTP / Integration Suite); SAP certification is a plus. Experience with WMS or MES products (e.g. Manhattan, Blue Yonder, Körber, Siemens Opcenter) and understanding of logistics, warehouse or manufacturing processes. Experience building SDKs, developer tools or developer documentation. Willingness to travel occasionally to Europe. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — поддерживать и настраивать IP-телефонию на базе Asterisk: dialplan, SIP-транки, маршрутизация; — подключать SIP-провайдеров, обеспечивать входящую и исходящую связь, автообзвон; — интегрировать Asterisk с backend и CRM через ARI/AMI; — диагностировать проблемы SIP/RTP и качества связи; — работать с CDR и записями звонков; — использовать Asterisk Realtime и MariaDB/MySQL; — заниматься безопасностью инфраструктуры: firewall, Fail2Ban, ACL; — контролировать мониторинг и самостоятельно разбираться с возникающими инцидентами. Требования: — опыт работы с Asterisk от 2 лет; — глубокое понимание SIP, VoIP, NAT, RTP и кодеков; — практический опыт с ARI и/или AMI; — уверенное администрирование Linux; — базовые навыки работы с MariaDB/MySQL; — понимание безопасности VoIP и умение самостоятельно решать технические проблемы. Плюсом будет опыт с Redis, Nginx и системами мониторинга. Условия: — зарплата $3000 в месяц, фиксированно; — полностью удалённый формат работы / Home Office; — график Пн–Пт, 09:00–18:00 (UTC+3); — обед 1 час + три перерыва по 15 минут; — работа в формате онлайн-офиса с включённой камерой и демонстрацией экрана в рабочее время. Работа в Армении.

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.

Задачи: — Использовать AI для разработки функций на backend, web, Android и iOS. — Сотрудничать с продакт-менеджерами для формирования решений и проектирования в условиях ограничений. — Владеть полным жизненным циклом функций: проектирование, реализация, тестирование и выпуск. — Писать комплексные автоматизированные тесты и обеспечивать высокое качество доставки. Требования: — Опыт в разработке ПО 5+ лет, особенно в backend. — Ежедневный опыт работы с AI-инструментами программирования в продуктивных средах. — Сильные знания алгоритмов, структур данных и проектирования систем. — Способность работать с несколькими стеками и быстро осваивать новые технологии. — Владение английским языком на уровне не ниже intermediate. Плюсы: — Опыт с Java 17+, Spring Boot, микросервисами и высоконагруженными системами. — Знакомство с платформами для прямых трансляций и видео. — Опыт создания агентных рабочих процессов и автоматизированного тестирования на разных поверхностях. Условия: — Конкурентная зарплата, бонусы по результатам и опционы. — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Офис в Лимассоле с питанием, закусками и корпоративной культурой. — Медицинская страховка (100% для сотрудников, 75% для семей). — Доступ к матчам Aris Limassol F.C., корпоративным мероприятиям и урокам греческого. — Формат работы: офис (Лимассол).

Location: Shanghai Workplace: OnSite 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. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development 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/

I’m looking for an experienced Full-Stack Developer to help build a new company from the ground up. Experience with web/app development, backend & frontend. Startup mindset and ability to work independently. Potential for long-term collaboration.

Задачи: — координация работы системных аналитиков проекта; — системный анализ в рамках проекта по разработке системы принятия решений КАСКО; — анализ структур данных (JSON, XML) и атрибутов системных сущностей для постановки задач на разработку реляционных баз данных (Postgre) и контрактов для межсистемного взаимодействия (REST); — исследование и описание алгоритмов агрегирования данных для постановки задач на разработку; — формирование документации (описание контрактов и алгоритмов, формирование карт данных, подготовка ER-диаграмм, подготовка ТЗ на разработку, участие в подготовке датасетов для тестирования); — декомпозиция ТЗ на задачи для разработчиков; — взаимодействие со смежными командами для синхронизации текущих изменений в зависимых системах; — участие в функциональной приемке задач. Требования: — опыт работы от 3 лет в роли старшего системного аналитика; — опыт участия в подготовке архитектурного решения на создание новой Системы; — опыт работы в роли системного аналитика в проектах с REST API; — основы программной инженерии, жизненного цикла разработки программного обеспечения, управления требованиями; — опыт анализа, выявления и формализации требований заказчиков; — знание стандартов описания и моделирования бизнес-процессов на этапе анализа (BPMN, UML, DFD, SADT, IDEF и др.); — опыт написания технического задания (user story, диаграмм потоков, последовательности и ER) на уровне постановки задачи для разработчиков реляционных БД и backend-сервисов; — опыт проектирования асинхронного взаимодействия систем через брокеры сообщений; — понимание взаимодействия ИТ-систем: приложение, серверная часть, внешние системы и т.д.; — знание SQL, T-SQL, PL SQL на уровне составления запроса к нескольким таблицам и чтения хранимых процедур; — опыт работы с реляционными БД, HTTP, WebAPI, REST/SOAP, jwt/oauth 2.0, swagger, Postman; — опыт проектирования API (REST, SOAP); — знание принципов клиент-серверной архитектуры; — понимание основ построения noSQL БД; — знание современных технологий, применяемых в микросервисной архитектуре, понимание отличий монолитной и микросервисной архитектур; — понимание принципов UI/UX.