About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About the role

The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions, collaborating across Design, Engineering, and Data to build features our customers love.

We’re looking for an Applied AI Engineer who can manage their product roadmap, including day-to-day operations, project execution, and risk assessment.

From conception to launch and beyond, you’ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.

Up to shape what's next in finance? Let's get in touch.

What you'll be doing

• Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies
• Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
• Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
• Setting your team's goals, success metrics, and roadmap to align with company goals
• Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment

What you'll need

• Experience developing and launching AI products/features from scratch 
• High analytical and technical acumen, along with solid business sense and problem-solving skills
• Experience in a data science or machine learning role
• Experience owning machine learning projects, from design to implementation and iteration
• Great Python, SQL, or other programming language skills
• Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)
• Knowledge of version control, model deployment, and developer environments
• Evidence of impressive mathematical and statistical knowledge
• An entrepreneurial drive to never settle

Compensation range

• Poland: PLN27,000 - PLN53,300 gross monthly*
• Austria: €90,000 - €168,000 gross annually*
• Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the role:

We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.

This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.

What You’ll Do

• Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform

• Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation

• Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics

• Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why

• Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting

• Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production

What We’re Looking For

• Strong backend engineering skills in Python, Go, or similar

• Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)

• Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code

• Comfort working across the stack from frontend to backend

• Experience with observability and alerting in systems where failures have real operational consequences

• Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow

Nice To Have

• Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context

• Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions

• Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language

• Experience integrating with third-party enterprise systems (WMS, ERP, or similar)

• Background in robotics or real-time systems where execution state and side-effects need to be managed carefully

What We Offer

• Competitive equity: stock options with meaningful upside as we scale.

• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).

• Private healthcare, including virtual and in-person care.

• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in-office.

• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.

• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Чем предстоит заниматься

• Автоматизировать расчёт выплат с учётом разных форматов оформления, валют и условий оплаты, предусмотрев необходимые проверки.
• Улучшать обработку вопросов, связанных с выплатами: помогать HR и финансовой команде быстрее находить нужную информацию и отвечать сотрудникам.
• Объединять данные из разных команд и инструментов в единый процесс, сокращая ручной перенос информации между системами и таблицами.
• Разрабатывать, запускать и поддерживать формы, ботов, интеграции и небольшие веб-сервисы для этих процессов.
• Тестировать решения на реальных сценариях и дорабатывать их по обратной связи.

Что мы ожидаем

• Опыт разработки, запуска и дальнейшей поддержки небольших приложений или сервисов: форм, ботов, дашбордов.
• Практический опыт создания и поддержки рабочих сценариев в n8n или Make.
• Опыт работы с LLM API: промптами, вызовом инструментов, структурированным выводом и проверкой результатов.
• Умение работать с REST API, вебхуками и ботами в Slack или Telegram.
• Самостоятельность в ведении проекта: способность напрямую разобраться в процессе вместе с HR-командой, согласовать требования и доступы, протестировать решение и регулярно сообщать CTO о прогрессе и рисках.
• Внимательность при работе с финансовыми данными: опыт сверок и тестовых прогонов, понимание того, где можно использовать LLM, а где расчёты должны выполняться по строгим правилам.

Будет преимуществом

• Опыт автоматизации процессов в Google Workspace, особенно с помощью Apps Script или Google Sheets.

Этапы отбора

• Интервью с рекрутером
• Интервью с руководителем
• Тестовое задание
• Обсуждение тестового задания, возможно, совместно с Head of People & Culture