Вакансии

Задачи: — Организация процесса поиска по ИТ вакансиям бизнес юнита: контроль скорости отдачи и качества резюме, контроль проведения внутренних проверок, приоритизация подбора. — Самостоятельный поиск и привлечение кандидатов (60% рабочего времени): проведение активного поиска (сорсинга) на различных платформах (HH, Habr Career, LinkedIn, Telegram и др.), формирование и публикация вакансий на специализированных площадках и в соцсетях. — Отбор и оценка: анализ резюме и портфолио, проведение предварительных интервью, оценка soft skills и мотивации. — Сопровождение и коммуникация: полное сопровождение кандидата на всех этапах до выхода на проект, формирование и отправка фидбека кандидатам, формирование оффера и согласование условий работы, ведение кандидата в период от выхода на проект до завершения испытательного срока: поддержка, сбор обратной связи. — Административная работа и аналитика: ведение и актуализация базы кандидатов в CRM-системе, подготовка и конвертация резюме в фирменный шаблон, подготовка регулярной отчетности. — Взаимодействие с командами: тесная работа с аккаунт-менеджерами, delivery-менеджерами и техническими специалистами, участие в рабочих чатах и планерках. Требования: — Опыт работы в ИТ рекрутинге от 4 лет. — Опыт управления команды от 1 года. — Умение работать с метриками подбора и опыт ведения аналитической отчетности. — Опыт работы с аутстаффингом или в кадровом агентстве. — Глубокое понимание IT-специальностей: способность разбираться в технологических стеках (программирование, тестирование, DevOps, аналитика и т.д.), оценивать сложность вакансий. — Профессиональные навыки поиска (sourcing): уверенное владение различными каналами (LinkedIn, GitHub, Telegram, HH.ru, профессиональные сообщества, базы данных). — Отличные коммуникативные навыки. — Организованность и самостоятельность. Условия: — Трудоустройство по ТК РФ. — Работа 5/2, гибкое начало рабочего дня с 9.00 до 11.00, окончание с 18.00 до 20.00. — Гибридный формат работы: 3 дня офис, 2 дня удаленно (Москва, м. Калужская, ул. Бутлерова д.17 Блок «А», офис: 285 БЦ «NEO GEO»). — Достаточная степень независимости в принятии решений. — Расширенный ДМС со стоматологией после 6 месяцев работы. — Необходимая для работы техника (ноутбук, телефон, симка). — Обучение за счет компании, участие в митапах. — Заработная плата оклад 180 000 руб. на руки + КПИ.

Ищем сильного Full-Stack разработчика с хорошим пониманием backend/frontend-разработки, баз данных, сетевого взаимодействия и архитектуры высоконагруженных систем. Основной стек Backend: Node.js, Express, Sequelize Frontend: React, Vite, Tailwind CSS, Zustand, Axios Databases: MySQL, PostgreSQL Real-time: WebSocket, Socket.IO, Centrifugo Базы данных Уверенная работа с MySQL / PostgreSQL Транзакции, блокировки (locks), конкурентный доступ Построение и оптимизация сложных SQL-запросов Понимание race conditions и проблем конкурентности Infrastructure / DevOps Docker Настройка Nginx Redis, RabbitMQ и очереди задач Elasticsearch + Kibana Prometheus + Grafana Понимание CDN Понимание принципов защиты от DDoS на уровнях L3/L7 Понимание работы proxy / reverse proxy Frontend React Vite Понимание нативной конфигурации Webpack Tailwind CSS Zustand Axios Базовое знание PixiJS Базовое понимание SEO API / Integrations Умение разбираться и работать с недокументированными API OAuth и основные принципы авторизации Telegram Bot API Опыт/понимание работы с TDLib AI-инструменты Уверенная работа с Claude и ChatGPT Использование AI-инструментов в ежедневной разработке: анализ и написание кода, рефакторинг, отладка и поиск решений Умение грамотно ставить технические задачи нейросетям и проверять результат Security Понимание SQL Injection и способов защиты Проверка подмены типов и некорректных входных данных Race conditions Базовое понимание криптографии: RSA, SHA и хеширование Понимание обфускации Понимание browser/device fingerprinting Architecture Умение проектировать архитектуру высоконагруженных систем Понимание масштабирования, отказоустойчивости и конкурентной обработки данных Понимание взаимодействия между сервисами, очередями, БД, кешем и real-time компонентами Будет плюсом Базовое понимание теории вероятностей Понимание принципов работы blockchain и основных сетей: Bitcoin, TON, Ethereum/ERC, TRON Опыт работы с нестандартными API и интеграциями

Задачи: — Анализировать поведение распределённых систем и сетевых взаимодействий — Моделировать реальные инфраструктурные сценарии и воспроизводить сложные кейсы — Исследовать нестабильное поведение системы (логи, трафик, системные метрики) — Работать с дефектами: от обнаружения до поиска root cause — Взаимодействовать с разработчиками и DevOps-инженерами — Разворачивать и настраивать тестовые и инфраструктурные среды — Использовать Docker для изоляции и воспроизводимости окружений — Автоматизировать процессы и сценарии на Python programming language — Интегрировать проверки и сценарии в CI/CD pipelines Требования: Linux: — Уверенная работа в Linux (CLI, процессы, файловая система) — Понимание сетевого стека Linux — Опыт диагностики (tcpdump, Wireshark, ss и др.) — iptables / nftables — bash scripting Networking: — Глубокое понимание TCP/IP — OSI, маршрутизация, NAT, VPN — Понимание передачи данных и сетевых сценариев Automation / DevOps: — Знание Python programming language — Опыт работы с CI/CD pipelines — Практический опыт с Docker Плюсом будет: — Zabbix, Nginx, OpenSSL — VMware / виртуализация — Опыт построения тестовых или стендовых инфраструктур Условия: — Удалёнка или офис в центре Новосибирска — Гибкий график — ДМС — Белая зарплата — Рост в сторону DevOps / Infrastructure Engineer (обучения за счет компании, ученический договор)

Задачи: — Создавать и поддерживать специализированные дистрибутивы на базе Linux для промышленного использования в системах космической системы; — Писать Yocto рецепты для сборки разнообразного ПО; — Расширять возможности сборочной системы; — Следить за обновлениями Open Source и актуализировать кодовую базу; — Изучать и адаптировать сборочные системы: cmake, bazel, meson, go, wheel; — Читать dmesg и отлаживать системы, понимать, как специфика железа отражается в дистрибутиве; — Улучшать существующие и создавать новые командные процессы по выпуску ОС; — Увеличивать экспертизу и помогать продуктовым командам с платформенными задачами. Требования: — Опыт работы в области System Engineer, Linux Engineer, DevOps от 3 лет; — Отличное знание Linux (архитектура, сборка и администрирование); — Опыт автоматизации и написания скриптов на Python и bash; — Опыт диагностики проблем производительности на уровне ОС и hardware; — Хорошее представление о современном аппаратном обеспечении (устройство памяти, шин данных, систем ввода-вывода); — Знание английского на уровне чтения и написания технической документации. Будет плюсом: — Опыт системного программирования на C/C++ или разработки встраиваемого ПО; — Знания об устройстве ядра Linux и опыт написания драйверов; — Умение писать системные приложения и демоны под GNU/Linux; — Опыт open source разработки; — Опыт работы с системами баг-трекинга (e.g. Jira); — Опыт работы и понимание базовых принципов функционирования сетей, систем хранения данных (файловые, блочные, объектные). Условия: — Работа в аккредитованной ИТ-компании; — Гибридный или удаленный формат работы; — Современный лофт-офис в 5 минутах от метро "Улица 1905 года"; — Оформление по ТК РФ; — Конкурентный уровень заработной платы на уровне лидеров ИТ/телеком-индустрии.

Задачи: — Тестирование ETL / data pipelines — Валидация данных по цепочке source → warehouse → semantic model → report — Проверка aggregations, measures и business rules — Тестирование BI / analytical solutions — Regression testing Требования: — 3–5+ лет в QA, желательно Data / BI — Strong SQL — Опыт тестирования ETL / data pipelines — Валидация данных по цепочке source → warehouse → semantic model → report — Проверка aggregations, measures и business rules — Опыт тестирования BI / analytical solutions — Regression testing — Jira / Azure DevOps — Понимание dimensional data models Будет большим плюсом: — SSAS Tabular / Power BI — DAX — Automated data testing — Python — Azure / Microsoft Fabric — Опыт в insurance / financial services Ищем по профилям: Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA

О компании: МЕДСИ – лидер в сфере частного здравоохранения, объединяющий более 150 клиник, диагностических центров и санаториев по всей России. Компания развивает цифровые сервисы и автоматизацию ключевых процессов для повышения качества медицинских услуг и эффективности бизнеса. Задачи: — Разработка новых и поддержка существующих backend-сервисов на .NET Core в микро-сервисной архитектуре. — Проектирование и реализация внутренних и внешних API. — Интеграция с внешними и внутренними системами. — Работа с реляционными базами данных (PostgreSQL), написание и оптимизация SQL-запросов. — Реализация бизнес-логики с учетом устойчивости, безопасности и масштабируемости. — Взаимодействие с командой архитекторов, frontend-разработчиков, аналитиков, тестировщиков и devops. — Участие в code review и обсуждении архитектурных решений. Требования: — Опыт коммерческой разработки на C# от 2 лет. — Уверенное знание .NET Core и принципов ООП. — Опыт работы с EF Core и PostgreSQL. — Понимание архитектуры микросервисов, CQRS и event-driven подхода. — Знание принципов REST и разработки API. — Знание принципов разработки gRPC API. — Опыт работы с брокерами сообщений. — Умение писать читаемый, сопровождаемый и покрытый тестами код. Условия: — Формат работы: гибридный. — Работа в крупнейшем медицинском холдинге. — Заработная плата по итогам собеседования. — Оформление по ТК РФ. — Индивидуальные условия по страховке (ДМС) в клиниках Медси. — Компенсация профессиональной литературы, курсов, обучения и участия в конференциях. — Пятидневный график работы, гибкое начало рабочего дня.

Location: United Kingdom Workplace: Remote Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.   What you’ll do here - Build and close a strong pipeline of enterprise accounts with large engineering organizations - Generate qualified opportunities through outbound prospecting and inbound leads - Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction - Collaborate with Sales Engineers to deliver a thorough technical evaluation - Partner with decision-makers and technical stakeholders throughout the sales cycle - Travel as needed to support deals and customer relationships What we’re looking for - 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) - 3+ years selling into Fortune 500 companies - Experience engaging with software engineering leaders and technical decision-makers - Understanding of DevOps, CI/CD, platform engineering, and developer tools - Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) - Comfortable with outbound motion and partnering with Sales Engineers - Track record of exceeding quota and pipeline goals - Strong communication skills - written, verbal, and in presentations - Familiarity with different sales cycles (startup, midsize, enterprise) - Creative, analytical, and highly self-motivated - Ability to travel up to 15% Bonus tacos if you have - A technical background or meaningful experience with open source software - Curiosity about emerging AI workflows, developer tools, and general tech trends About Coder Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.   Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.   AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.   Coder is a proud Equal Opportunity Employer We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team builds the systems that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (Engineering, Core Technology) , you will work across the technology stack behind these experiences. You may build real-time software that runs on Nex Playground, create internal tools for preparing and reviewing datasets, improve camera and hardware integrations, or automate how we train, evaluate, optimize, and deploy machine learning models. You will collaborate with software engineers, ML researchers, and game teams to investigate real-world problems and turn new ideas into reliable technologies that can be used in games. You will receive hands-on mentorship while owning meaningful work that contributes to our products and engineering capabilities. What You Will Do Build real-time software for motion tracking, cameras, audio, and ML inference. Develop tools that help engineers prepare datasets and train, evaluate, optimize, and deploy ML models. Improve reliability and developer experience through visualization, debugging, performance analysis, and automated testing. Collaborate with engineers and researchers to bring experimental technologies into games. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Solid foundation in software development and computer science fundamentals. Programming experience in any language. Strong problem-solving and debugging skills. Strong communication and collaboration skills. Curiosity about real-time systems, machine learning systems, cameras, sensors, or hardware. Excited to learn and work across different parts of the technology stack. Nice To Have Experience with C++, C#, or Java. Interested in computer vision, ML inference, cameras, audio, or embedded systems. Interested in building developer tools, web or desktop applications, or data workflows. Interested in profiling, automated testing, CI/CD, or DevOps practices. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Hybrid, SP Workplace: hybrid About the position We're looking for a QA Analyst to join our Quality team and help ensure the quality of Fanatee's mobile game portfolio. You'll work closely with developers, product, and design to catch issues before they reach our players, and help build a more efficient testing process as our games evolve. What you’ll do Execute manual and exploratory testing across our game portfolio, covering functional, regression and edge-case scenarios. Identify, document and report bugs clearly, with reproduction steps, severity and impact, so the dev team can act fast. Build and maintain test plans and checklists for critical game flows. Support test automation efforts, contributing to scripts and coverage under guidance from senior QA. Use AI-assisted QA tools (test case generation, log summarization, bug triage support) to speed up repetitive work, always validating results critically. Track testing tasks and bugs in our project management tools (Jira/Azure DevOps), keeping status updated. Collaborate directly with developers to clarify, prioritize and follow up on reported issues. Test across different devices, OS versions and stores (iOS/Android) to catch platform-specific issues. What you’ll need  Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields (or equivalent practical experience) . Understanding of software testing fundamentals (test cases, regression, exploratory testing).  Strong attention to detail, able to spot small, non-obvious inconsistencies in gameplay, UI or text. Good organizational skills to manage multiple test cycles at once. Programming knowledge (C#) with hands-on experience writing and maintaining automated tests. Not senior-level, but able to build test scripts independently, not just follow a script someone else wrote. Nice to have Experience with Unity or mobile game development. Familiarity with AI-powered testing tools (test case generation, automated regression, visual QA). Experience with test automation frameworks  Previous QA experience in mobile games or apps. Comfortable reading English (docs, tools, error logs). Proactive. Flags risks and suggests process improvements without being asked. Comfortable with repetitive tasks without losing rigor or focus. Collaborative, with strong communication skills to work closely with developers under tight release cycles. Curious and adaptable, comfortable with fast-changing priorities typical of game development. Genuine interest in mobile games. Certification iSTQB What We Offer  Beyond a vibrant and enjoyable work atmosphere, we offer: Competitive compensation aligned with market standards Flexible benefits Health and dental insurance Profit sharing Career development opportunities and professional growth While the role is primarily remote, our São Paulo office is available for those seeking a dedicated workspace. There, you’ll find a calm environment, a stocked fridge with snacks and drinks, and even a ping-pong table for a bit of fun. Come help shape the future whith our amazing team! About Fanatee   Fanatee is a mobile gaming startup founded in 2013. Since then, our goal has been to enable people to play our games anytime, anywhere. We believe that quality is the key to success.Our creative processes are well planned and carefully detailed, and our talent lies in turning great ideas into great businesses: our games hit over 250M downloads worldwide. We believe that a diverse work environment contributes to an increasingly responsible society that values differences. Our dream allows us to do what we love the most: work with talented, passionate people and give them the opportunity to achieve goals as big as they can dream of. If you want to share this ride with us and join a lightweight, fun and focused environment that breathes innovation and game culture, apply now!

Location: San Francisco, CA, USA About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering. This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency. In this role, you can expect to Design, build, and operate scalable ML and AI infrastructure on AWS. Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration. Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis. Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost. Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap. Build distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark. Build and maintain infrastructure as code using Terraform. Support and evolve the feature store and feature pipelines. Develop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark. Improve CI/CD workflows for ML models, AI applications, and platform components. Partner closely with Data Science and ML Engineering teams to improve developer experience. Participate in on-call rotations to support production systems. To thrive in this role, you have Knowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray. 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems. Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems. Experience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts. Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Strong programming skills in Python, Go, Scala, Java, or similar languages. Solid understanding of software engineering fundamentals, including testing, version control, code review, and observability. Nice-to-have Experience shipping LLM-powered or agentic systems to production. Experience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks. Experience building evaluation, tracing, and observability capabilities for non-deterministic AI systems. Familiarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms. Experience operating GPU-based workloads and optimizing training or inference performance and cost; CUDA experience is a plus. #LI-Onsite #LI-WW1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $187,000 — $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Компания МТС Банк ищет Разработчика Системы принятия решений в Центр Риск-технологий. Команда отвечает за весь жизненный цикл стратегий принятия кредитных решений по всем видам кредитования, включая взаимодействие с портфельными менеджерами, разработку архитектуры и техническую реализацию стратегий. Управляет инфраструктурой для принятия кредитных решений в режиме реального времени и автоматическим расчетом x-sell предложений. Требования: — знание Java, SQL, PLSQL, Gitlab, SVN — опыт оптимизации SQL запросов (Oracle, Postgres) — опыт работы с ORACLE, промышленными ETL-средствами — навыки обследования предметной области, анализа и моделирования бизнес-процессов — навыки взаимодействия с заказчиками и исполнителями — будет плюсом опыт разработки СПР (Talys.SDE или SAS RTDM) Задачи: — разрабатывать и тестировать изменения стратегии принятия кредитных решений — анализировать требования на реализацию изменений стратегий — формировать и актуализировать техническую документацию по системе — разрабатывать интеграционные механизмы для использования сведений внешних сервисов — формировать патчи в рамках практик DevOps Банка

Требуется технический директор трайба Инвестиции и Премиальный сервис. Требования: — опыт управления крупными распределенными ИТ-командами в роли CTO, технического директора или директора по разработке — опыт работы с highload-системами 24/7, критичными к надежности, производительности и масштабируемости — опыт формирования и реализации технологической стратегии — от архитектуры до организационных изменений — глубокое понимание современного стека, микросервисной архитектуры, DevOps-практик, данных и интеграций — сильные лидерские и управленческие компетенции, умение строить процессы и развивать команды — инженерный бэкграунд в разработке или системном анализе, умение говорить с командой на одном языке, понимать технологические ограничения и опираться на практический опыт при выборе архитектуры — будет плюсом опыт в инвестициях, брокерском обслуживании, WealthTech или премиальных цифровых сервисах Задачи: — формировать и реализовывать технологическую стратегию трайба в направлениях сервисов инвестиций, брокерского обслуживания, сберегательных продуктов и Wealth Management — развивать архитектуру и платформы трайба, повышая надежность, масштабируемость, производительность и качество интеграций — управлять распределенными командами разработки и эксплуатации через технических лидеров — обеспечивать delivery ключевых технологических инициатив и предсказуемость поставки — выступать технологическим партнером для бизнеса и смежных функций — развивать инженерную культуру, DevOps/SRE-практики и технологические стандарты — проводить технологические и организационные трансформации команд и процессов

Задачи: — разрабатывать и поддерживать DAG в Apache Airflow — работать со скорингом (рассчитывать стратегии взыскания клиентов) — программировать на Python (основном языке) — оптимизировать запросы и работать с Oracle (SQL, хранимыми процедурами) — поддерживать и сопровождать выгруженные DAG — участвовать в разработке и применении моделей (машинном обучении, сегментации клиентов) — проводить код-ревью — самостоятельно проводить аналитику (в команде нет системных аналитиков) Требования: — уверенное коммерческое программирование на Python — опыт создания DAG и работы с Apache Airflow — опыт оптимизации запросов в Oracle, знание хранимых процедур — базовые навыки Linux (сборка образа, решение задач без DevOps) — опыт работы с Kubernetes — уровень Middle: около 2–3 лет коммерческой разработки на Python — релевантный опыт с Airflow 2–3 года — опыт именно оптимизации запросов в Oracle, а не просто написания простых запросов

Требуется технический директор трайба Инвестиции и Премиальный сервис. Требования: — опыт управления крупными распределенными ИТ-командами в роли CTO, технического директора или директора по разработке — опыт работы с highload-системами 24/7, критичными к надежности, производительности и масштабируемости — опыт формирования и реализации технологической стратегии — от архитектуры до организационных изменений — глубокое понимание современного стека, микросервисной архитектуры, DevOps-практик, данных и интеграций — сильные лидерские и управленческие компетенции, умение строить процессы и развивать команды — инженерный бэкграунд в разработке или системном анализе, умение говорить с командой на одном языке, понимать технологические ограничения и опираться на практический опыт при выборе архитектуры — будет плюсом опыт в инвестициях, брокерском обслуживании, WealthTech или премиальных цифровых сервисах Обязанности: — формировать и реализовывать технологическую стратегию трайба в направлениях сервисов инвестиций, брокерского обслуживания, сберегательных продуктов и Wealth Management — развивать архитектуру и платформы трайба, повышая надежность, масштабируемость, производительность и качество интеграций — управлять распределенными командами разработки и эксплуатации через технических лидеров — обеспечивать delivery ключевых технологических инициатив и предсказуемость поставки — выступать технологическим партнером для бизнеса и смежных функций — развивать инженерную культуру, DevOps/SRE-практики и технологические стандарты — проводить технологические и организационные трансформации команд и процессов

Компания ООО «Блокчейн Хаб» (часть экосистемы МТС) разрабатывает финтех-продукты на базе блокчейн-технологий и ищет QA-инженера по нагрузочному тестированию в кросс-функциональную команду разработки платформы ЦФА Хаб. ЦФА Хаб — платформа для выпуска и обращения цифровых финансовых активов, объединяющая эмитентов и инвесторов. В 2023 году компания включена Банком России в реестр операторов цифровых финансовых активов. Технологический стек проекта включает микросервисную архитектуру, микрофронтенды, C#, .NET/.NET Core (4.7.1-8.0), Web API, EF, OAuth2.0, RabbitMQ, MassTransit (saga state machine, routing slips), REST API, MSSQL, PostgreSQL, React, blockchain (geth, besu, ipfs). Задачи: — Анализировать производительность и управлять уровнем качества в части нагрузки для крупной системы с ядром на базе blockchain. — Поддерживать и создавать новые нагрузочные тесты для JMeter. — Проводить полный цикл нагрузочного тестирования. — Подготавливать отчеты о проведенном нагрузочном тестировании. — Проводить анализ узких мест и оценку масштабируемости системы, формировать рекомендации для увеличения производительности. — Анализировать инциденты на production-контуре, связанные с деградацией производительности, и готовить заключения. — Управлять, поддерживать и развивать инструменты нагрузочного тестирования, интегрировать их в CI. — Взаимодействовать и координировать работу с разработчиками, аналитиками и DevOps. Требования: — Опыт в нагрузочном тестировании высоконагруженных систем более 3 лет. — Уверенное знание JMeter. — Практический опыт написания скриптов нагрузочного тестирования (JMeter, k6). — Опыт работы с инструментами CI/CD (GitLab, Jenkins, GoCD и др.). — Опыт работы со средствами мониторинга (Grafana, Zabbix, Prometheus, InfluxDB, ELK и др.). — Практический опыт написания скриптов на JavaScript, Python, Bash для генерации данных и пост-аналитики. — Уверенное понимание метрик нагрузочного тестирования. — Опыт работы с базами данных PostgreSQL (чтение pg_stat_statements, понимание Top-N запросов, план запроса на уровне узких мест) и MSSQL. — Хорошее знание SQL. — Понимание архитектуры клиент-серверных приложений. — Понимание микросервисной архитектуры. — Понимание жизненного цикла разработки ПО. Будет плюсом: — Опыт работы со средствами нагрузочного тестирования Yandex.Tank, k6, Locust, Gatling. — Опыт выстраивания процесса нагрузочного тестирования с нуля. — Опыт продвинутой диагностики: профилирование приложений, анализ Thread/Heap дампов, трассировка (Zipkin, Jaeger, Signoz и др.). — Владение инструментами анализа производительности Linux (top, iotop, htop, dstat, netstat, perf и др.) и Windows (PerfMon, ResMon, WPR, WPA, Event Viewer, PerfView). — Опыт с pgBouncer, connection pool, таймауты/лимиты на API-шлюзах. — Понимание предметной области цифровых финансовых активов. — Опыт работы в сфере финтех и/или с блокчейн-продуктами.

Location: Remote - US East About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in nurturing and expanding relationships with large enterprise accounts within your designated territory. You should possess exceptional business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 7+ years of Enterprise (closing) Sales Experience Experience selling DevOps products or a strong technical understanding of developer workflows and pain points, with the ability to communicate how solutions address these challenges. You have a demonstrable track record of consistently meeting or exceeding quota expectations. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large enterprise accounts. Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US Central About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in nurturing and expanding relationships with large enterprise accounts within your designated territory. You should possess exceptional business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 7+ years of Enterprise (closing) Sales Experience Experience selling DevOps products or a strong technical understanding of developer workflows and pain points, with the ability to communicate how solutions address these challenges. You have a demonstrable track record of consistently meeting or exceeding quota expectations. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large enterprise accounts. Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Poland Workplace: Remote HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   WHAT YOU WILL DO: - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.   EXPERIENCE AND SKILLS YOU NEED TO JOIN US: - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language.   IT WOULD BE GREAT IF YOU ALSO HAVE: - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!