Вакансии

Location: Москва Отдел занимается разработкой AI-агентов для автоматизации бизнес-процессов. В фокусе — задачи NLP и CV: работа с текстовыми и визуальными документами, извлечение информации, принятие решений на основе содержимого. Требуется усилить отдел ML-экспертизой в области языковых моделей, промпт-инжиниринга и качества агентных решений. На этой позиции нужен Data Scientist, который отвечает за смысл и качество решений агента и обработки документов. Это возможность участвовать в создании агента enterprise-уровня с высокими требованиями к качеству и стабильности. Обязанности * развивать промпты агентов: системные и ролевые промпты, few-shot, схемы рассуждения, tool calling, извлечение структурированных знаний из документов * строить пайплайны эволюции промптов: версионирование, оффлайн-оценка (golden set, side-by-side, LLM-as-judge), итерации по ошибкам * решать задачи классификации и маршрутизации документов: разделение входного пакета по классам, подготовка релевантного контекста для агента * работать с RAG и эмбеддингами: chunking, выбор и тюнинг эмбеддингов, retrieval / rerank, оценка качества поиска * работать с open-source LLM и GigaChat во внутреннем контуре; предлагать и обосновывать стек под задачу Требования * опыт в Data Science / NLP / LLM от 3 лет * опыт prompt engineering на продакшн-задачах * понимание tool calling / function calling * понимание RAG-архитектур * опыт классификации текстов и документов * уверенный Python (эксперименты, скрипты, оценка качества) * понимание метрик качества LLM и подходов к оценке (eval-наборы, precision / recall по кейсам) **Будет преимуществом** * богатый опыт работы с эмбеддингами: выбор модели, fine-tune, contrastive learning, оценка retrieval * опыт пайплайнов эволюции промптов (DSPy, GePA и аналоги, Langfuse / PromptLayer) * опыт LangChain / LangGraph / LlamaIndex на уровне логики агента * опыт в доменах: банки, комплаенс, документооборот, юридические тексты * опыт LoRA / SFT * опыт CV / мультимодальных моделей Условия * комфортный современный офис рядом с м. Кутузовская * формат работы – офис/гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * 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.

Задачи: — Проектирование промпт-архитектуры; — Тестирование и настройка нейросетевых сценариев; — Оптимизация точности ответов AI-моделей; — Разработка и внедрение автономных ИИ-агентов; — Интеграция AI-решений в продукты и бизнес-процессы. Условия: — Работа из любой точки мира; — Гибкий график с ориентацией на результат; — Фиксированная оплата и бонусы за успешные запуски; — Обучение за счёт компании; — Доступ к ведущим AI-моделям и инструментам.

Location: Москва Мы строим с нуля экосистему интеллектуальных агентов для автоматизации процессов Блока строительства. Формируем ядро новой команды. Нам нужен универсальный инженер, который умеет не только писать промпты, но и проектировать архитектуру: от базы данных до сложного интерактивного интерфейса. Вы будете пилить готовые решения «под ключ» на стыке бэкенда, ML и фронтенда, напрямую влияя на то, как тысячи сотрудников оптимизируют свою работу. Обязанности * Проектировать архитектуру автономных LLM-агентов под бизнес-задачи. * Дообучать (_fine-tune_) фундаментальные модели (LLM/Vision) под специфику строительства и внутренних сервисов. * Строить enterprise-grade RAG-системы для извлечения знаний из тонн неструктурированных документов. * Внедрять MLOps: мониторинг качества, A/B-тесты новых версий моделей, глубокая оптимизация _latency/cost_ при инференсе. * Писать сложные цепочки промптинга (_prompt chains_) и управлять контекстом в мультиагентных сценариях. Требования * 3+ года продакшн-опыта в ML/AI. * Python — ваш родной язык. Глубокое знание PyTorch или TensorFlow. * Руки работали с актуальными моделями: GPT-family, LLaMA/Mistral, Kandinsky (или аналоги). * Экспертиза в построении пайплайнов: классический RAG, fine-tuning, продвинутый prompt engineering. * Опыт внедрения MLOps-практик: MLflow, Kubeflow, оркестрация контейнеров. * **Огромный плюс:** понимание работы баз данных и умение спроектировать API (FastAPI), чтобы связать агента с реальным миром. Условия * Офис класса А у метро Кутузовская * Гибрид или полная удаленка (по договоренности). * Ежегодный пересмотр зарплаты. * Корпоративный спортзал, зоны отдыха и сна прямо в офисе. * СберУниверситет: доступ к 400+ образовательным программам для роста. * Расширенный ДМС с первого дня, льготное страхование семьи и корпоративная пенсия. * Льготная ипотека: гибкий дисконт по кредиту, равный 1/3 ключевой ставки ЦБ. * Подписка СберПрайм на трех близких бесплатно. * Бонус за рекомендацию друзей в команду Сбера.

Задачи: — Проектировать и улучшать промпты для ИИ-ассистентов и агентов клиентов — Подбирать модели и настройки под задачу — Вместе с командой evals измерять качество и устранять ошибки — Документировать лучшие практики для команды Требования: — Опыт работы с LLM в продакшене от 1 года — Умение писать системные промпты, few-shot примеры и структурированные ответы — Понимание ограничений моделей: галлюцинации, контекстное окно, стоимость — Базовый Python для экспериментов и автоматизации — Грамотный русский язык — Казахский и английский — плюс Условия: — Проекты по ИИ и корпоративным системам для крупных компаний Казахстана — Гибридный формат, офис в Астане — Официальное оформление — Доступ к современным ИИ-моделям и инструментам — Возможность влиять на архитектуру и продукт

Задачи: — Проводить практические занятия по искусственному интеллекту (AI) и генеративному AI; — Обучать использованию передовых AI-инструментов, таких как ChatGPT, Claude, Gemini, а также Prompt Engineering; — Готовить интересные практические задания и мини-проекты, сопровождать студентов в процессе обучения. Требования: — Опыт работы с AI-инструментами и большими языковыми моделями (LLM) от 1 до 3 лет; — Глубокие знания в области Prompt Engineering и мультимодального AI (текст, изображение, аудио, видео); — Понимание концепций AI Agents, AI Automation и AI workflow; — Умение просто и понятно объяснять сложные технологии; — Преимущества: высшее образование в IT, Computer Science, Data Science или смежных областях, опыт преподавания/менторства, международные сертификаты. Условия: — Место работы: Ташкент; — График работы: полный рабочий день с 09:00 до 18:00; — Зарплата: от 10 000 000 до 15 000 000 сум в месяц. Контакт для отклика: — Телефон: +998 94 888 34 65 — Telegram: @hr_ustudy

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 Role: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams 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: $320,000 — $405,000 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: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT YOU WILL WORK ON - Develop product use cases and one-click presets for generative image/video models - Develop and optimize complex generative content pipelines (images, video, audio, text). - Design and optimize agents based on LLMs for product pipelines. - Work tightly with ML and Product teams to integrate new features. YOUR MUST HAVES You don’t need to meet every single requirement to be a strong candidate — if you’re excellent in a few of these areas and eager to grow, we’d still love to hear from you. - 1+ year of experience in Prompt Engineering - Advanced hands-on experience with generative models (t2t, t2i, t2a, v2v, v2a, i2v, and others) - Deep understanding of the AI model landscape and emerging trends - Basic experience in building and configuring agents based on LLMs and other generative models - General knowledge of ComfyUI pipelines - Intuitive “vibe coding” approach - Strong adaptability and readiness to quickly learn and apply new technologies - Willingness to work in a fast-paced, high-intensity startup environment. - Excellent communication skills and ability to collaborate across research, engineering, and product teams. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Full-time position with high growth potential.

Требования: — Senior+ уровень: 4+ года практического опыта работы над проектами в области AI/ML или разговорного AI, предпочтительно в финтехе, телекоммуникациях или ритейле — Подтвержденный опыт в prompt engineering: написание и итерация промптов для LLM для реальных продуктовых кейсов — Опыт проектирования сквозных разговорных сценариев для чат-ботов или AI-агентов, включая распознавание намерений, диалоговые деревья, обработку fallback, копирайтинг для потребителей — Опыт тестирования промптов / QA и работы с инструментами AI Observability (например, LangSmith) — Опыт итерации промптов и проведения оценок (prompt engineering + тест-кейсы + human-in-the-loop) Желательно: — Опыт в UX-дизайне или UX-исследованиях — Опыт с AI Voice — Опыт в бизнес-анализе процессов: способность переводить сложные рабочие процессы в четкие, структурированные диалоговые сценарии Задачи: — Анализировать работу бизнес-процессов на стороне клиента: изучать внутренние инструкции для сотрудников, а также реальные записи и транскрипты разговоров — На основе анализа проектировать скрипты и промпты для AI-агентов с целью автоматизации процессов — Создавать обучающие и тестовые наборы данных — Разрабатывать и применять методологии оценки качества работы AI-агентов и использовать их для улучшения агентов Условия: — Команда создала отмеченные наградами AI-продукты для технологических корпораций: устройства, голосовые ассистенты, продукты, реально используемые в мире — Современный стек технологий: речевые технологии, NLP, генеративный AI (LLMs, диффузионные модели), голосовая агентская архитектура с приоритетом конфиденциальности и локальным развертыванием — Высокий инженерный уровень и реальная ответственность за продукт, работающий в продакшене — Быстрый карьерный рост благодаря старшей команде и большому количеству реальных задач — Стартап-ритм с корпоративной стабильностью: реальные клиенты, реальный доход, отсутствие бюрократии — Полностью удаленная работа по всей Европе — 21 день отпуска + государственные праздники + 5 больничных дней — Частные уроки английского через Preply

Location: Porto, Portugal Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Portuguese and fluent in English. Location: Must be based in Portugal. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Netherlands Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Dutch and fluent in English. Location: Must be based in Netherlands. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Japan Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Japanese and fluent in English. Location: Must be based in Japan. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Italy Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Italian and fluent in English. Location: Must be based in Italy. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Spain Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Spanish and fluent in English. Location: Must be based in Spain. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: France Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in French and fluent in English. Location: Must be based in France. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Germany Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in German and fluent in English. Location: Must be based in Germany. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: The Netherlands; Denmark; Portugal; France; United Kingdom; Spain; Germany; Italy Workplace: Remote ABOUT THE TEAM The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team you will be responsible for designing, building, operating and maintaining components of the petabyte-scale platform that stores trillions of records and processes millions of new events every second, owning its reliability, performance and availability. Our stack is built using Golang, runs in Kubernetes, and is, of course, stored in ClickHouse. The team’s responsibilities include gathering and processing data for the internal billing and accounting system as well as customer-facing dashboards that provide our customers with immediate insights and analytics. The Product Metrics system is specifically designed to prioritize delivery guarantees, precision, and accuracy in handling extensive data volumes. Its primary goal is to provide data that is both prompt and accurate, supporting reliable operational decisions and enhancing the overall customer experience. WHAT WILL YOU DO? - Take an active part in determining the roadmap for the Product Metrics team - Work closely within the team to deliver new features, iterate and improve them - Design, build, operate, and maintain business-critical petabyte-scale systems - Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems - Mentor and support other team members, participate in design discussions and collaborate with the team - Be a part of on-call rotation and take ownership of the services you're running WHAT ARE WE LOOKING FOR IN YOU? - You demonstrate a strong initiative and a preference for action, high level of responsibility, ownership and accountability - You prioritize customer needs, ensuring that our products are designed with the user in mind - You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively - You have a strong problem solving mindset and have solid production debugging skills - You have excellent communication skills and the ability to work well within a team and across engineering teams in a fully remote environment - You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward REQUIREMENTS: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems - 2+ years of software application development experience using Golang - Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure - Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse  - Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform BONUS POINTS: - Experience with ClickHouse - Experience writing Kubernetes operators or controllers - Experience with Kafka streaming technology  PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote This role may require in-person interview/s. About Osano: Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role: We’re hiring a Senior AI Engineer to build and improve Osano AI, our intelligent privacy assistant. As part of the Osano AI team, you will take capabilities from first idea to production, with an emphasis on delivering capabilities that are reliable, measurable, and trustworthy. This role goes beyond wrapping APIs or building chat interfaces. We are looking for an engineer who has shipped LLM-powered systems that real users depend on. That means that you’ve dealt with hallucinations, latency, cost, evaluation, and tricky edge cases within agentic systems, and you know what it takes to keep these non-deterministic systems working after launch. You will often work on problems that aren’t well-defined. Success here depends on how you think, communicate, and work with others as much as on what you build. This position is ideal for someone who is highly technical, thrives in ambiguity, takes ownership of 0→1  initiatives, wants to have an outsized impact, and believes responsible AI is non-negotiable. Responsibilities: Build and ship production AI Design, build, and maintain agentic features across our products, from early prototype to scaled production deployments. Build retrieval (RAG) systems that build trust through verifiable sources. Build agentic and multi-step workflows with guardrails, observability, and structured outputs. Balance quality, latency, reliability, and cost in production. Measure and improve AI systems Build thorough evaluation frameworks that cover accuracy, grounding, latency, and reliability, utilizing both offline evaluations and real-world production signals. Deploy data-driven methods to decide what to ship, how to fix it, and what to stop doing. Continuously refine deployed systems based on measurable outcomes. Collaborate and communicate Work closely with product managers, engineers, privacy experts, and other stakeholders to decide what to build, how to build it, and why. Write clear design documents and run effective technical discussions. Privacy-First Development Embed privacy-by-design principles across the AI stack. Ensure compliance, data sovereignty, and secure handling practices. Collaborate cross-functionally to align AI capabilities with regulatory standards. About You: You’re curious, self-directed, and motivated to learn quickly. You’re comfortable navigating ambiguity and creating clarity for others. You’re excited about privacy, responsible AI, and building trustworthy technology. You are willing to relentlessly pursue the best, most responsible ways to leverage AI—without overselling its capabilities or ignoring its limitations. Must-Haves: 5+ years of professional software engineering or AI/ML experience Demonstrated experience building and running agentic systems in production with real users, not just prototypes or internal demos. Deep technical understanding of LLM usage and orchestration beyond prompt engineering. Proven experience building complex RAG systems and autonomous AI agents. Clear written and verbal communication. You can explain technical trade-offs to both engineers and non-technical stakeholders. Concrete examples of getting from ambiguity to results. Nice-to-Haves: Strong expertise in the Python AI ecosystem, including FastAPI and LangGraph. Experience with Knowledge Graphs to enhance RAG precision Familiarity with Privacy-Enhancing Technologies (PETs) Experience with data anonymization techniques Background in compliance-heavy or regulated environments Why Us: We're a welcoming team that's dependable, curious, moves fast, and full of talented people We're a B-corporation with a mission that matters, in a high-growth space with significant potential You'll have access to our training program, well-defined career paths, and a leadership team that values professional development Benefits: Competitive-pay compensation and ownership interest/equity Unlimited paid time off, plus a requirement to take at least two weeks off per year We're a Best Place for Working Parents and offer paid parental leave for all new parents Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna A fully and permanently remote company, so you can work from anywhere in the U.S. Receive a MacBook and $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and fun Mental health benefits with free memberships to mindfulness and talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: An ambitious Software Engineer who will be in the driver’s seat as we design and deliver the entire customer-facing application layer for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and want to be in the lead thanks to your high degree of ownership and control. Scalability and reliability are hardwired into your DNA. You love defining the standards for a consistent development life cycle. You have used modern AI / agentic tools (Claude, Codex, Cursor, etc) to streamline development efforts. You’re supercharged by reducing friction in the engineering experience, making a fast impact, and having interesting, unsolved problems continually present themselves. In this Role You Will: Build a complex multi-tenant enterprise SaaS application to revolutionize application workflows This role will be a fullstack role and the candidate would work across BE, FE as well as do prompt engineering work towards tuning our models. Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) Own the entire lifecycle of designing, building and launching enterprise applications Work directly with the head of product, the data science team, UX designers, and end users Have a key role and ownership in shaping the future of EvolutionIQ’s products, from technology choices to building the roadmap Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets Requirements: Experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data 3+ years of engineering experience, an expert in Python Development. Experience with FE development is a bonus. Proven experience using AI / agentic tools to streamline development efforts. We lean on the use of AI tools for our own productivity and we need someone who’s able to create signals and cut the noise in using them Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions Excellent verbal and written communication skills. You are able to talk to client facing teams and explain technical issues as well as have deep technical discussions with the engineering team A self-starter mindset with an eagerness to solve previously unsolved problems. This role would require the candidate to deal with a lot of ambiguity and being comfortable operating with high agency is critical to the success of the role Excellent collaboration skills and are open to giving and receiving critical feedback across teams Work-life, Culture & Perks: Compensation: The base salary range is $180-210K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.