Вакансии

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – Romania (remote) Travel – Flexible for adhoc travel What's in it for you? Compensation Salary Range : 160,000 - 200,000 RON per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - India MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – India (remote) Travel – Flexible for adhoc travel What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють понад 4,5 мільйона кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує понад 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки, комфорту та автоматизації. Щороку ми демонструємо кратне зростання як команди, так і кількості користувачів у всьому світі. Наразі ми шукаємо Спеціаліста з аналітики даних, який допоможе розвивати автоматизовану звітність та аналітичні інструменти для підтримки виробництва високотехнологічної електроніки. У цій ролі ти працюватимеш на перетині різних відділів, створюючи рішення для підвищення ефективності процесів, автоматизації рутинних задач та побудови прозорої системи мотивації на основі даних. Обов’язки: Збір і обробка даних із різних джерел: бази даних, ERP, Google Sheets , API. Побудова дашбордів для ефективної передачі інформації за допомогою Power BI. Підтримка та розвиток регулярної звітності (бюджетування виробництва, звіти якості, операційні та мотиваційні метрики). Аналіз бізнес-процесів та пошук можливостей їх оцифровки й автоматизації. Розробка інструментів введення даних Google Sheets для планування, або фіксації результатів роботи. Розробка інструментів введення або обміну даними (Telegram-боти, FastAPI -сервіси, інші інтеграційні рішення) — як зона росту. Документування логіки розрахунків, джерел даних та структури звітності. Розвиток напрямку роботи з хмарними сервісами та сучасною data-інфраструктурою в команді аналітики (Databricks / Airflow). Вимоги: Практичний досвід роботи з Power BI , DAX та SQL. Практичний досвід роботи з Google Sheets ; знайомство з Google Apps Script або JavaScript буде плюсом. Базові навички Python для обробки та автоматизації даних; пет-проєкти та досвід роботи з API будуть плюсом. Розуміння принципів автоматизації звітності та роботи з даними. Англійська на рівні впевненого читання технічної документації. Ми пропонуємо: Роботу у стабільній технологічній компанії з реальним впливом на виробничі процеси. Офіційне працевлаштування та оплачувану відпустку. Конкурентну заробітну плату. Медичне страхування. Корпоративне вивчення англійської мови. Компенсацію профільного навчання. Можливість участі у бета-тестуванні нових продуктів Ajax до їх релізу. Простір для розвитку у напрямку автоматизації та дата-інженерії. Якщо ти готовий приєднатися до нашої команди — чекаємо на твоє резюме!

Location: European Union Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication Act as the primary technical point of contact for customers across technical and executive stakeholders. Lead discovery conversations to deeply understand client goals, problems and quality criteria. Translate client needs into clear, actionable solution designs and delivery plans. Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. Run experiments and pilots to validate quality, throughput, and cost assumptions. Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. Prioritize work based on customer impact and business value. Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. Continuously optimize solutions through iteration, automation, and adoption of new technologies. Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. Experience designing multi-stage pipelines and complex systems. Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. Confidence working with data engineers, ML engineers, and researchers from leading tech companies. Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have Experience with crowdsourcing, expert workflows, or large-scale data labeling. Experience working on ML training, evaluation, or agentic systems. Familiarity with quality frameworks, audits, or data validation pipelines. What we can offer Full-time independent contractor engagement (B2B) through the Ontop contractor platform , working via your own company or business entity; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

О ПРОЕКТЕ DigiNavi — это иммерсивная AR-навигация для крупных общественных пространств (ТЦ, аэропорты). Мы превращаем локации в SMART-зоны с помощью Computer Vision и дополненной реальности. Наша команда внедряет подход VibeCoding: вы выступаете архитектором решений, используя AI-агентов (Claude Code, Cursor) как основной инструмент исполнения. ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ — AI-Driven Development: Разработка и поддержка кода через AI-инструментарий. — R&D & Prototyping: Быстрая проверка гипотез и внедрение алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting). — Architecture: Рефакторинг CV-компонентов в гетерогенной среде (Go / C++ / Python). — Integration: Внедрение ML-моделей в микросервисную архитектуру через gRPC и Kafka. — Optimization: Работа с high-load системами и оптимизация инференса моделей. ЧТО МЫ ЖДЕМ ОТ ВАС — CV & ML Expert: Глубокие знания PyTorch и OpenCV. Опыт создания Computer Vision решений. — VibeCoding Skills: Практический опыт работы с Claude Code, Cursor или аналогами. Понимание SDD и TDD подходов. — Backend: Опыт production-развертывания (FastAPI, Docker) и понимание микросервисов. — Polyglot Mindset: Готовность работать в окружении, где используются Go и C++ (чтение и интеграция). — Документация: Умение создавать техническую документацию и структурировать процессы там, где их нет. БУДЕТ ПЛЮСОМ — Опыт оптимизации инференса для мобильных платформ. — Работа с облачной инфраструктурой GCP. — Понимание специфики разработки в сфере AR/VR.

Задачи: — Разработка и поддержка кода с использованием AI-агентов (Claude Code, Cursor, OpenAI Codex и др.). — Рефакторинг AI/ML и CV-компонентов в условиях гетерогенной среды (Go / C++ / Python). — Быстрое прототипирование гипотез и внедрение новых алгоритмов. — Интеграция ML-моделей в микросервисную архитектуру (gRPC / Kafka). — Оптимизация инференса и работа с high-load системами. Требования: — Уверенный уровень Python, опыт разработки AI/Computer Vision решений. — Знание алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting), опыт работы с PyTorch, OpenCV. — Практический опыт работы с AI Tools: Claude Code, Cursor, Antigravity или аналогами, понимание workflow VibeCoding. — Опыт production-развёртывания ML-сервисов (FastAPI, Docker, gRPC), понимание микросервисной архитектуры (Kafka). — Готовность работать в окружении с Go и C++ (чтение, интеграция, базовое понимание). — Понимание и применение SDD (Specification-Driven) и TDD подходов. — Умение быстро прототипировать и проверять гипотезы. — Опыт работы с технической документацией и умение создавать её. Преимущества: — Опыт оптимизации inference для мобильных и серверных сред. — Опыт работы с облачной инфраструктурой GCP. — Понимание специфики AR/VR разработки. Условия: — Режим оформления: ТК/ИП — Удаленная работа — Гражданство РФ

Location: Intellias Meet your recruiter Gerasim Naydenov gerasim.naydenov@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior Bulgaria, Croatia Hybrid APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our team operates at the frontlines of our efforts to support Google and owns the campaign management functionalities that allow users to scale, automate and optimize their ad operations on Google Ads. Join us in building new end-to-end automation solutions and scaling existing automation pipelines to help our customers automatically launch and iterate their Google advertising. The team has recently started working with exciting new campaign types within Google Ads and we’re looking to scale up our team to expand our Google Ads offering. What you will do Design, build and maintain backend services that sit at the core of client campaign optimization products. Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement. Support data scientists in bringing machine learning models to production. Mentor your team on software development practices and propagate best practices like testing, monitoring, or clean code. Use your skills and experience to continuously improve our software architecture, coding practices, tools, and processes. Work with our stakeholders – be them product, engineering, infrastructure – to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must. Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. Impact the daily life of the staff of the hundreds of advertisers using client platform What you need for this We’re seeking an experienced Software Engineer with Strong Python skills Strong experience in Data Science, NLP, Generative AI demonstrated through relevant projects or research. Proficiency in programming languages such as Python and libraries/frameworks like FastAPI, pandas, polars, TensorFlow, PyTorch, etc. and cloud AI services Aws/Azure/GCP Proven ability to bridge the gap between technical concepts and business impact, with a clear understanding of how data science aligns with business goals. Excellent communication skills, strong sense of ownership and ability challenge product decisions with both technical and non-technical stakeholders. Experience developing and maintaining services under SLA Analytical mindset with a problem-solving approach Passion for solving customer challenges quickly while making thoughtful architectural decisions Adaptability and resilience when facing new or ambiguous challenges Strong written and verbal communication skills in English M.Sc. in a relevant field is preferred Nice to have: Experience with CausalML frameworks. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AI/ML AWS GCP Python

Location: Pakistan; South Africa; Philippines; Mexico; Colombia About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a Remote AI Backend / Full-Stack Engineer with strong Python and modern web development experience to help build and scale an AI-powered travel planning platform. You will work closely with the product and engineering teams to develop backend services, build APIs, and contribute to frontend features. This role requires a developer who can write clean, scalable code, collaborate through GitHub pull requests, and contribute to sprint planning in an agile environment . The ideal candidate is comfortable working in a startup environment , takes ownership of deliverables, and is passionate about building high-quality AI-driven applications. Key Responsibilities Develop and maintain backend services using Python and FastAPI Build and optimize APIs that power AI-driven travel planning features Collaborate with engineers through high-quality GitHub pull requests and code reviews Contribute to sprint planning and agile development cycles Work on frontend components using React Integrate backend systems with MongoDB databases and AWS infrastructure Ensure code follows clean architecture principles and coding standards Improve system performance, reliability, and scalability Collaborate with AI and product teams to implement new platform capabilities Requirements Strong English communication skills Strong experience with Python backend development Experience building APIs using FastAPI or similar frameworks Familiarity with React for frontend development Experience working with MongoDB Experience using GitHub for version control, pull requests, and collaborative development Understanding of cloud infrastructure (AWS or similar platforms) Ability to contribute effectively to sprint planning and agile workflows Nice to Haves Experience working with AI-assisted development tools (e.g., Claude Code) Strong understanding of software architecture and scalable system design Ability to write high-quality, maintainable, and well-structured code Experience working in fast-paced startup environments Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Задачи: — Разработка информационной системы под требования заказчика в формате аутстафф. — Развитие существующей функциональности. Требования: — Опыт работы с Python не менее 4-х лет. — Опыт работы с FastAPI, ETL/DWH, SQL, Postgres, ClickHouse, MongoDB, Kafka, RabbitMQ. — Опыт работы с Gitlab, CI/CD. Условия: — Оформление по СЗ или ИП (обсуждаемо). — Работа в дружественной команде с отлаженными бизнес-процессами.

Задачи: — Доработка алгоритмов CV/ML — Разработка и поддержка бэкенда — Разработка фронтенда (минимально) — Рефакторинг и оптимизация кодовой базы — Участие в полном цикле разработки: обсуждение, реализация, тестирование, запуск в продакшн Требования: — Уровень: Senior (коммерческий опыт от 5 лет) — Python (Core): глубокое знание языка и экосистемы — Computer Vision (CV): практический опыт с OpenCV и другими библиотеками для обработки изображений/видео, понимание технологий, наличие минимального опыта — Machine Learning (ML): опыт работы с фреймворками (TensorFlow, PyTorch или аналогами) для задач классификации, детекции, трекинга — Backend (Node.js): уверенное владение Node.js и фреймворками (Express.js, Nest.js) (желательно, но не критично) — Базы данных: опыт работы с реляционными (PostgreSQL) и/или NoSQL (MongoDB) СУБД — Git: уверенное владение системой контроля версий — Желательно: опыт работы с видеопотоками (RTSP-протокол), Frontend (JavaScript) с Vue, Docker и основы DevOps, понимание принципов работы message brokers (RabbitMQ, Kafka), опыт оптимизации кода и ML-моделей для работы в реальном времени, опыт работы с Kubernetes Условия: — Оформление: ТД / ИП / СЗ — Полная занятость — Работа над проектом по системе AI видеоаналитики — Стек: FastAPI, ONNX Runtime / TensorRT, OpenCV, FFmpeg, MS, Meta, MLflow, Docker, Docker Compose (лучше кубы), YOLO, ResNet, MobileNet, ONNX, MLflow, NMS (Non-Maximum Suppression), JSON, Webhook или очереди, queue, threading/asyncio, REST API, оценка качества (loss, accuracy, confusion matrix и др) — Будет плюсом наличие собственных моделей, пригодных к дообучению под задачи проекта.

Задачи: — Развивать основной продукт — платформу для B2B-клиентов с высокой нагрузкой. — Проектировать и разрабатывать новые сервисы на Python (FastAPI). — Участвовать в выборе архитектурных решений. — Интегрироваться с внешними API и внутренними микросервисами. — Писать понятный код, покрытый тестами, и проходить код-ревью. Требования к кандидату: — Коммерческий опыт бэкенд-разработки на Python от 2 лет. — Понимание принципов проектирования REST API и микросервисной архитектуры. — Умение работать с реляционными БД (писать осмысленные SQL-запросы, а не только через ORM). — Опыт работы с очередями сообщений (Kafka, RabbitMQ). — Желание разбираться в продукте, а не просто закрывать тикеты. Стек технологий: Python 3.12+, FastAPI, PostgreSQL, Redis, Kafka, Docker, Kubernetes. Будет плюсом: опыт с Go или базовое понимание ML-пайплайнов (не обязательно). Мы НЕ требуем: — Профильное высшее образование. — Знание 15 фреймворков. — Опыт работы в "крупной продуктовой компании". — Сертификаты. Условия работы: — Прозрачная система грейдов — понятно, как расти и в деньгах, и в ответственности. — Оплачиваемое обучение (конференции, курсы, книги). — ДМС со стоматологией с первого дня. — Гибкий график: важен результат, а не время в сети.

Задачи: — Разработка и проектирование backend на Python с FastAPI и Django — Разбираться с legacy-сервисами (рефакторинг и распил на микросервисы — 50% времени) — Писать новые фичи (другая 50%) — Проектировать архитектуру — Проводить code review Требования к кандидату: — 5+ лет в backend на Python, уверенное владение Django (DRF) и FastAPI — Опыт проектирования REST API, WebSocket/SSE — Знание async/многопоточности (asyncio/gevent, Celery) — Работа с блокировками/транзакциями, архитектурой данных (нормализация/денормализация) — Глубокое SQL (PostgreSQL/ClickHouse: индексы, партиционирование, views) — Опыт с SQLAlchemy, S3, Redis/RabbitMQ/Celery — Docker, Git, CI/CD (GitLab), приёмочные тесты (pytest) — Понимание микросервисной архитектуры, интеграций (API, брокеры, cron) — Будет плюсом: Настройка серверов (nginx/apache), базовый JS/TS/HTML/CSS (для понимания фронта), Kubernetes, Kafka Условия: — Оформление по ТК РФ — Полная занятость (full-time) — Работа в удаленном формате (MSK timezone)

Location: Beograd, Serbia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We've already got over 90,000 students and 3,500 teachers making learning awesome in over 30 countries in Europe and Asia. But we're not stopping there—we need your help to take things to the next level! We're searching for a senior backend developer who's brilliant with Python, PostgreSQL, and REST APIs, and who's also got a solid understanding of cutting-edge AI models. You'll be joining a small, super-effective team focused on developing the AI magic that powers our language learning platform. What we offer Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products. Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together. What you'll bring A degree in Computer Science, Engineering, or something similar. 5+ years of hands-on experience as a Python Developer. You should be comfortable working with Python 3.8+ Deep experience in designing and building scalable backends and REST APIs. Our stack includes PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery, and pydantic. A strong grasp of modern LLMs (like OpenAI, Anthropic, Gemini), agentic tools (like Claude Code, OpenAI Codex CLI, Amp) and real experience building solutions that use them. AI-Native Engineering Workflow Hands-on experience with AI coding agents in CLI environments: Claude Code, OpenAI Codex CLI, Amp, or similar tools for backend development. You should understand how to orchestrate multi-step engineering tasks—breaking down complex features into agent-executable chunks, reviewing AI-generated code critically, and maintaining architectural integrity. Familiarity with plan-execute-review workflows where AI agents propose implementation strategies before coding. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Proficiency in context engineering for team collaboration: setting up and maintaining shared configuration files (agents.md, CLAUDE.md, custom skills/plugins) that encode team conventions, API patterns, and deployment practices. Experience sharing these configurations across teams to ensure consistent AI-assisted development. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Experience with microservice architecture and the AWS serverless stack. You should be fluent in English. Bonus points if You've worked in startups or small teams. You're a self-starter who also thrives as part of a team. You're all about solving business problems, not just writing code. You can use AI tools to create solutions quickly, in days or hours, not weeks or months. You have experience with e-commerce or e-learning projects. You've led teams or mentored other developers. You've deployed applications on AWS. You know your stuff when it comes to modern software architecture. You've worked with no/low-code workflow automation.

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience

Location: Warszawa, PL Hey there 👋 We are looking for an experienced Python developer to build the backend for LLM-powered RAG systems and chatbots. Your role will involve API development, service integration, database management, and deployment on Azure. Requirements: Develop services using Python, FastAPI, LangChain, and LangGraph Manage asynchronous tasks with Celery and Redis Handle database management (MySQL) using SQLModel Deploy and maintain applications in the Azure cloud Experience with LLMs, RAG, creating APIs, backend services, and chatbots

Location: Ideally London-based (Hybrid) Workplace: Hybrid Full-Stack Web Developer — React, FastAPI, Elasticsearch (AWS/GCP) About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry. As a Full-Stack Web Developer at Clarity, you’ll own end-to-end product surfaces—from sleek React UIs to FastAPI services and Elasticsearch search/ —shipping fast, safely, and beautifully. You’re AI-native (Cursor, v0, Claude Code in your muscle memory), comfortable in both AWS and GCP, and you treat infra & DevOps as part of building great product, not an afterthought. You’ll collaborate directly with engineers, PMs, and the CTO to turn specs into production features used by brands like Grubhub, Booking, Dropbox & Uber. WHAT YOU'LL DO 50% Build — design & ship - Build responsive React (TypeScript) frontends (state mgmt, data viz, virtualized tables, forms, charts, file uploads, accessibility). - Implement FastAPI services (async I/O, Pydantic v2, background jobs, caching) with robust testing. - Design Elasticsearch models & queries - Integrate AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user value. 25% Scale & operate - Ship and run services on AWS and/or GCP (ECS/EKS/Lambda or Cloud Run/GKE), containerized with Docker. - Own CI/CD (GitHub Actions), IaC (Terraform), logging/metrics/tracing (OpenTelemetry, CloudWatch/Stackdriver, Grafana/Prometheus), and SLOs. - Optimize p95 latency, throughput, and cost; manage secrets, networking, VPCs, and build resilient retries/backoffs. 15% Collaborate - Work closely with design/PM on specs and UX polish; pair with back-end/ML on data contracts and APIs. - Partner with the Insights team on taxonomy/schema changes and with Data/ML on search & analytics expectations. 10% Align & showcase - Write crisp docs, PRDs/tech notes, and demo your work to execs & customers. - Contribute to on-call for your services and drive post-mortems to closure. What makes you a great fit - Owner’s mindset: you take ideas from zero → shipped → observed → iterated; you sweat details and outcomes. - AI-native builder: Cursor, v0, Claude Code (and friends) are daily drivers for rapid prototyping and refactors. - React + TypeScript mastery: component design, hooks, performance, testing (Vitest/Jest, Playwright). - FastAPI expertise: async patterns, Pydantic schemas, pagination, auth (OAuth2/OIDC), rate-limits, background jobs. - Elasticsearch fluency: mappings/analyzers (ngrams, synonyms), aggregations, filters, sorting, performance tuning. - Cloud & DevOps: solid experience on AWS and/or GCP, Docker, Terraform, GitHub Actions, monitoring/alerts. - Datastores: Postgres (SQL, migrations), Redis (caching/queues). - Quality & security: code reviews, type safety, lint/format, secrets mgmt, least-privilege IAM, basic SOC2 hygiene. - Communicates clearly with product sense; ships value weekly. PERKS AND BONUSES - Remote-first freedom & flexible hours 🏠 - Regular off-sites & monthly virtual game nights 🎉 - Unlimited vacation (minimum 20 days encouraged) 🏝️ - Learning budget for conferences, courses & books 📚 - Startup equity in a rapidly growing market 💼

Location: Cyprus; Poland; Barcelona; Belgrade Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Ability to collaborate closely with machine learning engineers and data scientists to refine AI models, develop robust model embeddings, and optimize prompts for accuracy, performance, and cost-efficiency Develop and optimize AI agent systems, including multi-agent orchestration and tool integration Implement and iterate on RAG pipelines, evaluation frameworks, and LLM-powered data processing solutions Maintain and enhance applications and solutions on Python What we expect : A solid knowledge of Python, with experience in writing clean, efficient, and maintainable code Ability to design and develop autonomous agents using frameworks such as LangGraph/CrewAI/OpenAI Agents SDK, enabling intelligent decision-making and task automation Experience in rapid prototyping using large language models (LLMs), vector databases, and knowledge graphs to explore and implement new AI-driven capabilities Expertise in retrieval-augmented generation (RAG) workflows and document retrieval techniques to enhance content relevance Hands-on experience working with large-scale language models, such as GPT/Claude/Gemini/Qwen, along with a solid understanding of prompt engineering, embedding techniques Familiarity with the Model Context Protocol (MCP) for connecting LLM agents to external tools and data sources Experience in rapid prototyping of AI-driven capabilities using LLMs, embeddings, and structured/unstructured data sources Experience with code generation and AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex) Strong written and spoken English communication skills (B2) Nice to have : Experience with Python frameworks such as Django, Flask, or FastAPI Proficiency in SQL for working with structured databases, querying data, and optimizing database performance Familiarity with platforms Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbt Hands-on experience with NLP deep learning frameworks such as PyTorch, TensorFlow, and Transformers Familiarity with graph RAG approaches (Microsoft GraphRAG, LightRAG, or Neo4j-based solutions) Understanding AI cost optimization: model routing, caching strategies (semantic caching), prompt compression, and token management We offer : Competitive compensation Remote or office work Flexible working hours A team with excellent tech expertise