Вакансии

Самостоятельная разработка, реализация и поддержка интеграционных решений на стеке технологий, принятых в команде (Java, Groovy, Apache Nifi, Airflow);

Responsibilities: — Design prompts, agent logic and tools including function calling — Write test scenarios to evaluate the quality of agents — Analyze real agent conversations to identify and fix failures — Integrate agents with backend systems alongside the development team Requirements: — Minimum 2 years experience with Python — Experience building at least one large language model (LLM) agent or chatbot using APIs such as Gemini, OpenAI, or Claude — Strong skills in prompt engineering — Experience with function calling and Retrieval-Augmented Generation (RAG) — Proficiency in English Nice to have: experience with voice agents, multi-agent systems, evaluation tools like Langfuse or promptfoo, logistics domain knowledge, and knowledge of Uzbek or Russian languages. Benefits: — Salary starting from $1,500 per month — Office-based work in Tashkent To apply, send your CV to hr@gl-solutions.com with the email subject "AI Agent Engineer". Applications without a CV will not be considered.

Проектировать и разрабатывать пайплайны загрузки данных. Делать это оптимально в зависимости от потребностей команд потребителей;

- Build training datasets from real conversations and operational data. - Run fine-tuning jobs and compare tuned vs base models.

Translate business needs into functional AI use cases and automated tools. Integrate models via APIs and develop retrieval-augmented generation workflows.

Responsibilities: — Manage and evolve data infrastructure across PostgreSQL and Snowflake, extending existing data models to support new data sources Requirements: — Proficiency in Python for data processing, pipeline development, and automation — Understanding of data engineering principles, including data warehousing concepts

• Понимание устройства прикладных/серверных web-приложений и микросервисной архитектуры.

Gecko Robotics is looking for a Solutions Engineer Power to lead customer deployments, configure and validate plant asset data, train users, and improve deployment quality.

Chef Robotics is looking for a Field Engineering Technician to diagnose, repair, and tune robotic food-portioning modules at customer facilities.

Ожидания от кандидата знание основ математической статистики и основных методов расчета A/B тестов, а также интерес к другим методикам (bootstrap, cuped, diff-in-diff и др.); глубокое понимание области NLP;

Location: Москва Мы занимаемся разработкой и внедрением CV-моделей в бизнес-процессы банка. В числе наших успешных проектов - мобильные и серверные модели распознавания документов (банковские карты, паспорта, водительские удостоверения, различные страховые полисы и т.д.), а также дообученные VLM на извлечение данных из неструктурированных документов. Обязанности * обучать модели * исследовать новые подходы и архитектуры для решения бизнес-кейсов * анализировать данные в соответствии с условиями задачи, контроль качества датасетов * разрабатывать эффективный production-код инференса моделей. Требования * имеете опыт в CV * отлично понимаете архитектуры DL, трансформеров и тонкости их обучения * готовы погружаться в бизнес-задачи и генерировать решения * опыт работы в команде (pytorch, git, dvc, mlflow/clearml, pytest). Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы - команда Департамента интегрированного риск-менеджмента. Наш продукт «Витрины данных» состоит из витрин на Hadoop и GreenPlum. Разработкой витрин данных занимаются несколько Agile-команд. Цель витрин: сбор, подготовка и хранение данных, необходимых для расчета регуляторных риск метрик: риск взвешенных активов (RWA), экономического капитала (ECAP) и ставок оценочных и пруденциальных резервов; поставка данных для смежных бизнес-процессов. Сейчас ищем инженера данных (Data Engineer) в команды развития витрин данных на Hadoop. Обязанности * анализ и уточнение требований к доработкам у аналитика и бизнес заказчика * прототипирование и разработка витрин данных на Hadoop: проектирование модели данных, написание SQL-запросов, сборка дистрибутивов, оптимизация кода * разработка выгрузок данных из витрин в смежные автоматизированные системы * проведение тестирования разработанного решения, сверка с эталоном * подготовка к внедрению функционала витрины * сопровождение разработанных витрин (участие в разборе ошибок и инцидентов по запросу от команды сопровождения; консультация коллег по логике работы потоков загрузки и т.д.) * коммуникации с заказчиком и смежными командами. Требования * опыт работы со стеком технологий Hadoop, Hive, Spark * опыт работы с реляционными БД и хранилищами данных в роли аналитика\\ разработчика ETL-процессов\\ инженера данных\\ DWH Developer - от 5 лет * продвинутый уровень SQL - оконные функции, CTE, оптимизация запросов * умение читать чужие запросы - SQL * умение и желание общаться с коллегами (2ЛС, 3ЛС, бизнес-пользователи, смежные команды разработки) **будет плюсом** * знание предметных областей: банки, кредитные риски, резервы * опыт работы с Kafka * опыт работы с ИИ инструментами (использование инструментов в процессе разработки) * знание Python - для автоматизации процессов * опыт работы с Git, Bitbucket, Jenkins * опыт работы в Agile-команде. Условия * комфортный современный офис рядом с м. Кутузовская * офисный формат работы * ежегодный пересмотр зарплаты, * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Deliveroo's Enterprise Systems Engineering team builds and runs the tools our employees use every day: Google Workspace, Slack, Atlassian, identity, and device management. We lean toward building: less "click through the admin console," more writing the automation, integrations, and services that make those platforms work at scale. The team's priorities span a few ongoing areas of work, including: Platform consolidation and integration as Deliveroo continues to grow, including through acquisition. Employee-focused AI tooling that helps people work more efficiently. The communication and collaboration platforms the whole company relies on (Google Workspace, Slack, Atlassian, and similar). Building tools and automation that remove manual work from how the team and company operate. You'll bring real technical strength in one or more of these areas. Some of the work will be clearly scoped; some of it won't be. Working through ambiguous, not-yet-defined problems is part of the role, this is complex, genuinely challenging territory, and a place to learn and grow. You won't be doing that alone: you'll work with senior engineers to break ambiguous problems down, and build your own ability to do that independently over time. It's a hands-on engineering role: you'll be building real pieces of this work yourself, not primarily administering platforms by hand or managing support tickets. What you'll do Take on projects ranging from clearly scoped to genuinely ambiguous, working with senior engineers to break down the harder ones, and growing your own ability to do that over time. Build automation and tooling that removes manual work from how we run our SaaS and identity platforms. Help administer and support platforms such as Google Workspace, Slack, Atlassian, and our identity systems, including day-to-day troubleshooting. Write clear documentation for the work you do, so others can pick it up. Work with teammates, Security, People, and Corporate Development/M&A stakeholders to understand requirements before you build. Use GenAI tools (e.g. Claude, ChatGPT) to automate repeatable parts of your own work, like scripting, research, and documentation. Build technical depth in one or more of the team's core platform areas over time. What you'll need We're looking for someone who can learn our environment and grow into these areas, not someone who's already used every platform in our stack. Solid experience administering and working on projects with enterprise SaaS platforms such as Google Workspace, Slack, Atlassian etc. Experience with identity and SSO systems (e.g. Okta) Software engineering or scripting skills in Python, Go, JavaScript, or other general-purpose languages and experience with the APIs of the team's core platforms above. Proficiency in using AI coding tools (e.g. Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software. AI is your default way of working, not an add-on. Good to have Familiarity with public cloud platforms (AWS, GCP, or Azure). Exposure to device management/MDM and VDI. Knowledge of data security and identity best practices. Experience troubleshooting browser-based applications. Experience with Google Workspace developer tools (Apps Script, Workspace APIs). Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Australia (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE Teleport Cloud takes our traditionally open-source and enterprise access plane and provides a SaaS option for our customers to adopt. As such, our team is building our production and software as a service infrastructure from scratch. We tackle the hard problems that allow our customers to trust us for secure and reliable access to their infrastructure. Excellent security is table stakes; a security breach can compromise our customers' infrastructure. We must also balance security with maintaining productivity and building a compelling product offering for our customers. Most of the code you will write will be written in Go. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building. Important information - We require to be in-person in our San Francisco Bay Area office for the onboarding week. - We conduct background checks. WHAT YOU'LL DO - Re-engineer the core teleport product to scale globally and optimize routing latency for teams distributed around the world - Re-write portions of the core Teleport product to enable our goals for the cloud product - Build out our monitoring and observability stack to alert us to production issues and minimize false positives so we can all get a good sleep at night - Work on automation to tackle and eliminate the highest toil activities - Execute on traditional operation challenges, such as patching, scaling, backup and restore, disaster recovery, and more - Investigate the outages and incidents our customers experience with our product - Participate in the on-call rotation to ensure 24/7/365 system uptime. WHAT WE'RE LOOKING FOR - Willingness to collaboratively work with Teleports’ engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md as part of the interview process. - 8+ years of progressive experience in Software Engineering and/or SRE/DevOps roles. - Strong experience in Linux systems, networking, containers, and troubleshooting. - Have solid Go and production Kubernetes development experience. - Technical leadership experience. - Strong experience developing scripts, automation, submitting patches to the product codebase, or building tooling that incorporates AI agents into operational workflows. - AWS Cloud experience is preferred, GCP experience is acceptable. - Systems Observability tools: Prometheus, Grafana, Loki etc. - Operate and support the observability platform to maintain visibility and reliability. - Experience operate in a team where sound security choices are critical, and where reasoning about correctness and system invariants (e.g. formal or property-based methods) is valued. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Excellent communication skills. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager or a Lead Engineer. They will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager or Lead Engineer, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

- experience leading engineering teams, with a strong backend background. - understanding of high-load systems (Go, Python, MySQL, Kubernetes).

Job description: First responder in a 24/7 incident rotation for a client's production platform: triage and stabilize incidents at the infrastructure level from Kubernetes, RabbitMQ and Postgres logs, ship infra fixes and escalate application issues to the platform team.

Location: AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role & impact You will run the Networks team in Cloud Capabilities, the group that looks after Xero's cloud network, DNS and CDN. You will set the team's direction, deliver against our Cloud Capabilities goals for the year, grow and support your engineers, and balance roadmap work with support requests and incidents. You will work closely with Product, Security and the other Cloud Capabilities teams. The Networks team underpins connectivity, name resolution and content delivery for every Xero product, so your work shapes reliability, security and cost at global scale. Together with your team, you will shape a multi-year network strategy across AWS and edge providers, with real ownership and a clear mandate to modernise. It is a chance to Go Further in running critical infrastructure your way. The team & how they connect You will join a team of seven engineers at a range of levels, reporting to the Head of Engineering, Cloud Capabilities. The team works in fortnightly sprints, shares a support rotation and reviews incidents without blame. Written decisions and open technical debate are part of how we Go Together. Initially, you will focus on - Getting to know our network architecture, risks and support load, and building trust with the team and partners. - Agreeing a prioritised roadmap and ways of working with the Head of Engineering. - Shaping a multi-year network plan across AWS and edge providers, including DNS and CDN. - Reducing reliability and tech-debt risks while sharing support and incident work fairly across the team. Where and how you can work This is a permanent role based in Australia or New Zealand with a preference for Melbourne, Sydney, Auckland or Wellington. Our Boost days are a chance to connect, recharge and learn from one another. Here are some of the things we are looking for - Your background includes guiding engineering teams that run production infrastructure, from hiring to performance conversations and career growth. - You bring a solid grounding in cloud networking (VPC, routing, DNS, CDN and load balancing) to support your team well and Go Further. - You are comfortable setting direction, delivering against roadmaps and OKRs, and handling planned and unplanned work side by side. - You Go Bold by modernising critical infrastructure with care, weighing up priorities and trade-offs as you go. - You Go Together by building trust with stakeholders and explaining your thinking clearly in writing. - A cloud certification such as AWS Advanced Networking Specialty, or formal management training, would be a bonus. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A real human recruiter reviews all candidates before any hiring action is taken.