Обязанности:
• управлять проектами по разработке агентов: сбирать требования, формулировать метрики качества, согласовывать архитектуру, разрабатывать, проектировать MLOps-пайплайнов
• разрабатывать и внедрять AI-агентов на базе LLM (Python, LangChain, LangGraph, GigaChain)
• интегрировать решения с core-системами банка (REST, Kafka, PostgreSQL).
Требования:
• опыт разработки на Python от 3 лет
• опыт создания backend приложений и разработки API используя веб-фреймворк FastAPI
• опыт работы с PostgreSQL (SQL, индексы, транзакции), SQLAlchemy/asyncpg, Redis
• опыт в разработке и проектировании концептуальной и детальной архитектуры ИТ-решений (PoEE, TOGAF), построения MLOps-пайплайнов (Groovy, Jenkins), понимание базовых принципов MLSecOps, LLMOps
• опыт создания AI-агентов и их внедрения будет преимуществом.
Условия:
• гибридный формат работы (3 дня в офисе)
• годовой бонус и ежегодный пересмотр
• расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи
• корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях
• офис на Варшавском шоссе д.9 с зонами отдыха и спортзалом
• льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.
Location: India
Workplace: remote
About the Role
Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.
As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process.
Project Details
Job Title: Translation Validation - Assamese
Location: Remote
Employment Type: Freelance Contract
What You’ll Do
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.
Staff AI Engineer
The Opportunity:
At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.
What makes our team different is
how
we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach
here
.
What You’ll Be Doing:
Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.
Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.
Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Requirements:
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points For:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
Familiarity with model fine-tuning techniques.
Experience building observability tooling.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD 230,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.
Staff AI Engineer
The Opportunity:
At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.
What makes our team different is
how
we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach
here
.
What You’ll Be Doing:
Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.
Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.
Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Requirements:
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points For:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
Familiarity with model fine-tuning techniques.
Experience building observability tooling.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD 174,986
- USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of.
This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role.
WHAT YOU’LL DO
- Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them
- Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy
- Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces
- Partner on API and backend design so the full stack serves the product, not the other way around
- Use the latest coding models and agentic workflows as a core part of how you ship every day
WHAT YOU NEED
- Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications
- Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it
- Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity
- A track record of shipping polished, production-grade product experiences and owning them through ambiguity
- Bonus: experience with BI tools, data visualization, or financial/analytics products
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Задачи:
— Определять и владеть стратегией тестирования AI, включая фреймворки, инструменты, контроль качества и подходы к автоматизации для систем машинного обучения и традиционного ПО.
— Руководить, наставлять и развивать команду лидов тестирования ПО, устанавливать четкие ожидания, повышать технический уровень и культуру качества.
— Проектировать масштабируемые AI тестовые решения, такие как пайплайны валидации моделей, проверки качества данных, обнаружение смещения и дрейфа, а также бенчмаркинг производительности AI/ML моделей.
Требования:
— Проживание вне России и Беларуси.
— Высшее или среднее специальное образование.
— Минимум 3 года работы в англоязычной среде.
— Сильный технический опыт в QA Java инженерии (7+ лет), руководство тестовой командой (5+ лет), управление проектами.
— Опыт в архитектуре AI тестирования.
— Понимание жизненного цикла разработки ПО и процессов QA.
— Знание дизайна ПО и процессов интеграции.
— Опыт работы с Playwright, Java, Karate и другими инструментами.
— Знание методологий Agile/Scrum.
— Способность управлять несколькими приоритетами в быстром темпе.
Условия:
— Удаленная работа.
— Контракт b2b.
— Полная занятость, 8 часов в день с 4 часами пересечения с основной командой (8:00-12:00 UTC-5).
— Минимальный срок контракта 9 месяцев.
— Отпуск без оплаты.
— Зарплата $6700 - 7500 до вычета налогов.
Задачи:
— Писать код на Python (FastAPI / Django) для бэкенда.
— Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps).
— Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей).
— Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика).
— Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA).
— Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд).
— Проводить код-ревью, менторить, помогать расти.
— Участвовать в найме и онбординге новых разработчиков.
— Отвечать за соблюдение дедлайнов и качества кода.
— Настраивать и поддерживать пайплайны в GitHub Actions.
— Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik).
— Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов.
Требования:
— Python (FastAPI / Django) — уверенно, 4+ лет.
— React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс).
— PostgreSQL (оптимизация, индексы, репликация).
— Redis (кэширование, сессии, очереди).
— Docker, CI/CD (GitHub Actions).
— Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями).
— Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead.
— Умеете и сами писать код, и управлять командой.
— Понимаете, как строить масштабируемую архитектуру под highload.
— Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS).
— Работали с AI / LLM (не просто вызывали API, а встраивали в продукт).
Будет плюсом:
— ComfyUI, LoRA, ControlNet, генерация видео.
— ClickHouse (аналитика, большие данные).
— Kubernetes / Docker Swarm.
— Опыт с Telegram Mini Apps.
— Go (высоконагруженные микросервисы).
Личные качества:
— Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня».
— Ответственность — за дедлайны, за стабильность, за команду.
— Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки.
— Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас.
Условия:
— от 5000$ (фикс + бонусы за KPI).
— Удалённо, полная занятость.
— Возможность влиять на архитектуру и продукт с первых дней.
— Минимум бюрократии, максимум скорости.
Задачи:
-разрабатывать и развивать сервисы на Python
-работать над производительностью, отказоустойчивостью и масштабируемостью
-участвовать в код-ревью, формирование best practices команды.
Требования:
-писать чистый и быстрый код на Python (3.12+) от 5-х лет
-строить сервисы на FastAPI, работать с async/await (aiohttp) и внешними API
-проектировать и оптимизировать запросы к PostgreSQL, использовать Redis
-работать с данными: pandas, numpy
-разрабатывать и тестировать (pytest) модули для AI-сервисов, используя Langchain/Langgraph.
Location: Amsterdam, Netherlands; Berlin, Germany; Munich, Germany; Remote, Germany
You enjoy turning messy signals into clear action. You look at product usage, marketing engagement, and account activity and immediately start thinking about what should happen next.
You care about building systems that help teams move faster, make better decisions, and focus on the opportunities that matter most. If you like connecting data, processes, and people to create measurable business impact, this role is for you.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
About the role
We're building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational governance into a single system. It will serve as the execution and control layer for AI-driven software development and is a key part of how we see the future of the industry.
As adoption grows, we're looking for someone to own the systems that connect product and marketing signals with commercial action. The goal is simple: help the right users and accounts reach the right people at the right time.
You'll own the workflow that turns product usage, marketing engagement, account activity, and buying signals into qualified opportunities. You'll work across product, marketing, sales, analytics, and operations teams to build the processes, automation, and feedback loops that help us learn faster and improve conversion over time.
This is a hands-on role with plenty of ownership. You'll help define how our commercial engine works as we build a new business around one of JetBrains' most strategic investments.
Your day-to-day
Own the end-to-end process that turns product, marketing, and account signals into qualified sales opportunities.
Define and improve qualification criteria using product usage, engagement, intent, and commercial data.
Build and maintain routing rules that connect signals with the right sales and SDR owners.
Improve how quickly and effectively opportunities move from signal detection to commercial engagement.
Maintain high-quality lead and account data through enrichment, segmentation, consolidation, and cleanup processes.
Partner with product, marketing, sales, analytics, and operations teams to improve workflows and automation.
Create feedback loops that connect sales outcomes with product and marketing signals.
Identify bottlenecks in the funnel and fix them through process changes, automation, reporting, or data improvements.
Translate business needs into clear requirements for CRM workflows, integrations, dashboards, and operational tooling.
Measure the effectiveness of qualification, routing, and engagement processes and continuously improve them.
What you'll bring
A strong sense of ownership and a desire to improve systems rather than work around them.
Good commercial judgment and the ability to distinguish genuine buying intent from noise.
An analytical mindset that helps you turn data into practical decisions.
Comfort working independently in environments where not everything is defined yet.
A bias toward action. You like testing ideas, learning from results, and iterating quickly.
Strong collaboration skills and the ability to build trust across different teams and functions.
Attention to detail without losing sight of the bigger picture.
Curiosity about how product adoption, customer behavior, and commercial outcomes connect.
What you'll need
Experience in growth operations, revenue operations, sales operations, sales strategy, or a similar role in a B2B software or technology company.
A solid understanding of sales and marketing funnels, including qualification, Sales Development Representative workflows, account prioritization, pipeline creation, and conversion tracking.
The ability to define qualification frameworks, routing logic, and operational processes that can be implemented and scaled.
Experience working with CRM platforms, marketing automation tools, sales engagement platforms, enrichment tools, analytics systems, or workflow automation solutions.
Confidence working with product usage, account, marketing, and sales data.
The ability to translate business requirements into operational or technical solutions.
Experience partnering closely with commercial teams and improving the processes they rely on every day.
What success looks like
After your first year, the process for turning product and marketing signals into sales action is faster, clearer, and trusted by the teams using it.
Sales and SDR teams know they're receiving higher-quality opportunities. Product and marketing teams have better visibility into which signals actually predict conversion. Leadership has a clearer view of funnel performance and where to invest.
Most importantly, the system continuously improves because the feedback loops, data quality, and operational foundations are in place.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support.
We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-HYBRID
#LI-JP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Remote Roles - APAC
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions of access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
OKX is looking for a
Senior AI Creative Innovator(Paid Ads)
to develop AIGC video and AI-animated assets for paid ads to drive OKX’s global market growth and product launches.
What You’ll Be Doing
Concept and execute high-impact creatives for ads growth and marketing, from initial brief through final asset delivery
Use AI to accelerate every phase of the design process: ideation, moodboarding, asset variation, copy iteration, and production polish.
Sort out AIGC prompts and internal visual resource library to improve design efficiency.
Possess fluency with generative AI tools across the design stack (Figma AI, Claude, ChatGPT, Gemini VEO, Seedance etc)
Present creative work to stakeholders and advocate for design decisions with clarity and conviction
What We Look For In You
Bachelor’s degree
5 years of experience in design with a focus on marketing, advertising, or performance creative—ideally in tech, fintech, or a high-growth startup environment
Active hands-on proficiency with AI image & animation creative tools, translating AI capabilities into performing creatives and business outcomes
Comfort working at speed in a remote environment while maintaining a high bar for work quality
Experience partnering with business development and local market teams to produce and iterate on ad creative
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice
All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Требования:
- Основы Python/JavaScript
- Написание и улучшение кода
- Знание Visual Studio, Git, API
- Интерес к сфере ИИ
- Рассматриваем студентов на подработку
Обязанности:
- Писать скрипты для сервисов и обработки данных
- Читать техническую документацию API
- Тестировать и отлаживать интеграции
- Работать с технологиями ИИ
Условия:
- Удобный график, удаленная работа
- Обучение на практике
- Карьерный рост до team lead
- Дружный коллектив
Требования:
- Опыт работы с n8n
- Опыт разработки на Python
- Опыт работы с aiogram
- Умение самостоятельно разбираться и доводить задачи до результата
- Адекватность, скорость, ответственность
- Быть на связи в рабочее время
Обязанности:
- Разрабатывать и дорабатывать Telegram-ботов
- Работать с Python (aiogram)
- Настраивать автоматизации через n8n
- Интегрировать AI-сервисы и API
- Быстро запускать MVP и рабочие решения
Условия:
- Почасовая оплата
- В отклике укажите вашу ставку за час
- Задач много, работа постоянная
- Удаленный формат
- Можно junior/middle, если есть реальные навыки
Задачи:
- Исследование поведения AI-агентов (tool calling, MCP, multi-step workflows) и создание детекций аномальных и вредоносных паттернов. Тестирование и валидация контролей
- Реализация crawler-компонентов для discovery страниц, форм, endpoint’ов и параметров
- Разработка механизмов обнаружения injection points в query, body, headers, cookies, forms и API-запросах
- Интеграция DAST-движка с AI-агентами и backend
Требования:
- Уверенное знание Python
- Опыт backend-разработки и построения устойчивых сервисов
- Понимание базовых web-уязвимостей
- Опыт работы с browser automation: Playwright, Puppeteer или Selenium
- Умение проектировать код, устойчивый к нестабильному поведению web-приложений
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
О КОМПАНИИ
Мы — команда с 7+ лет опыта в разработке экономических моделей для стартапов и Web3-проектов по всему миру. Создаём токеномики, которые помогают привлекать инвестиции, удерживать ценность токена и строить устойчивую экономику. В нашем портфолио 30+ проектов с общей капитализацией свыше $180 млн. Сейчас строим внутреннюю AI-инфраструктуру и ищем специалиста для развития направления AI-агентов и автоматизации аналитики.
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ
• Разворачивать self-hosted AI-систему и AI-агентов;
• Построить пайплайны:
— аналитики и аудитов;
— токеномики и экономического моделирования;
— исследований и ресёрча;
• Автоматизировать генерацию и проверку инсайтов;
• Валидировать результаты AI и корректировать модели;
• Развивать и масштабировать систему;
• Общаться с клиентами на английском языке: презентовать результаты, защищать выводы, участвовать в preSale.
КЛЮЧЕВЫЕ ТРЕБОВАНИЯ
• Практический опыт разработки токеномики и подтвержденные результаты (кейсы, модели, портфолио, участие в запусках);
• Опыт работы в аналитике / финансах от 3 лет;
• Практический опыт построения AI workflows / AI automation;
• Опыт работы с AI-агентами, orchestration или research automation;
• Понимание: token utility, incentive design, supply/demand dynamics, типичных проблем токеномик (инфляция, давление на цену и т.д.);
• Английский язык на уровне B2+ (обязательно).
ВАЖНО
Мы не ищем “теоретика токеномики”. Нужен человек, который уже делал модели и понимает, где они ломаются в реальности.
ЧТО ВЫ ПОЛУЧИТЕ
• Возможность напрямую влиять на экономику продуктов;
• Работа с международными крипто-проектами;
• Сильная команда с глубокой экспертизой в Web3;
• Гибкие условия оформления и индивидуальный подход к вознаграждению.
ГибридseniorМосква
Canada (Remote); This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time; Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
United States (Remote); This is a remote opportunity and we would be interested in applicants from USA time zones only at this time; Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
Amsterdam, Netherlands; Berlin, Germany; Munich, Germany; Remote, Germany; Relocation support
