ai engineer for payment orchestration

Yuno; United States; Presencial; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere

One-time home office allowance

Work equipment provided

Stock options

Health plan

Descripción de la vacante

Yuno развивает платежную инфраструктуру и AI‑помощник для глобального рынка платежей. Вакансия предполагает создание и развёртывание масштабируемых AI‑продуктов на базе LLMs, разработку и оптимизацию промптов, и интеграцию с платежными сервисами.

Кандидат будет работать удаленно по всему миру, использовать современные стеки Python, TensorFlow/PyTorch, работать с векторными БД, распознаванием речи и API. Требуется свободное владение английским.

Formación

• Опыт разработки и развёртывания продуктов с использованием LLMs, например GPT и т.д.
• Опыт дизайна, тестирования и оптимизации промптов под конкретные задачи.
• Сильный опыт работы с Python и фреймворками TensorFlow, PyTorch и аналогичными.
• Опыт интеграции AI‑решений с RESTful API и сторонними платформами.
• Практический опыт работы с векторными базами данных: Pinecone, Weaviate, FAISS.
• Знакомство с инструментами распознавания речи и синтеза речи: Whisper, AWS Polly, Google Speech-to-Text.
• Опыт разработки и развёртывания масштабируемых AI‑систем в облаке: AWS, GCP, Azure.
• Умение развивать AI‑решения для сложных бизнес‑задач.
• Свободное владение английским языком.
• Будет преимуществом: знание NLP‑библиотек (Hugging Face, OpenAI API) и навыки аналитики/визуализации.

Responsabilidades

• Build and deploy scalable AI products using LLMs for Yuno's payment orchestration platform
• Develop and optimize prompts for use cases such as customer service, fraud prevention, and payment assistance
• Design, test, and iterate prompts to optimize AI model performance
• Analyze and refine model outputs using feedback loops and user interaction data
• Collaborate with cross-functional teams to integrate AI features into existing payment systems and workflows
• Ensure AI solutions interact seamlessly with Yuno's core services
• Track advancements in LLMs, prompt engineering, and related AI fields
• Experiment with emerging technologies to identify product innovation opportunities
• Use payment and user interaction data to fine-tune AI models and improve product performance
• Ensure compliance with data privacy regulations and AI ethics best practices

Descripción del empleo

Описание: Yuno builds payment infrastructure that enables companies to participate in the global market. Its high-performance payment orchestrator gives companies access to payment capabilities and supports global business operations through payment integrations.

Задачи

• Build and deploy scalable AI products using LLMs for Yuno's payment orchestration platform
• Develop and optimize prompts for use cases such as customer service, fraud prevention, and payment assistance
• Design, test, and iterate prompts to optimize AI model performance
• Analyze and refine model outputs using feedback loops and user interaction data
• Collaborate with cross-functional teams to integrate AI features into existing payment systems and workflows
• Ensure AI solutions interact seamlessly with Yuno's core services
• Track advancements in LLMs, prompt engineering, and related AI fields
• Experiment with emerging technologies to identify product innovation opportunities
• Use payment and user interaction data to fine-tune AI models and improve product performance
• Ensure compliance with data privacy regulations and AI ethics best practices

Требования

• Proven experience building and deploying products using LLMs such as GPT or similar models
• Expertise in designing, testing, and optimizing prompts for specific outcomes and use cases
• Strong experience with Python and frameworks such as TensorFlow, PyTorch, or similar
• Expertise integrating AI solutions with RESTful APIs and third-party platforms
• Hands-on experience with vector databases such as Pinecone, Weaviate, or FAISS for semantic search and embedding retrieval
• Familiarity with speech-to-text and text-to-speech tools such as Whisper, AWS Polly, or Google Speech-to-Text
• Experience developing and deploying scalable AI systems in cloud environments such as AWS, GCP, or Azure
• Ability to develop AI-driven solutions for complex business challenges
• Fluent English
• Будет плюсом: Familiarity with NLP libraries such as Hugging Face or OpenAI APIs, strong analytical and data visualization skills

Условия

• Remote work is available from anywhere
• One-time home office allowance
• Work equipment provided
• Stock options
• Health Plan wherever you are
• Flexible days off\
• Language, professional, and personal growth courses
• Full-time employment