Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$75к$112кмедиана$144к
31 в выборке
На СНГ рынке: $2.9к/мес ($2к - $4.1к)
86
Хорошая вакансия
развернуть
У роли чёткий фокус на прикладном ИИ, работа над решениями для реального продукта и сильная климатическая миссия, но в быстрорастущем стартапе нагрузка может быть менее предсказуемой.
?Темп стартапа
Современный стек ИИ
Климатические технологии
Понятная роль
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI/ML): Building consumer-facing AI features, internal automation tools, and production machine-learning applications for an integrated energy business with an accent on LLM/VLM integration, forecasting, and scalable backend systems. Focus on deploying efficient AI models, anticipating energy-market shifts from weather and demand data, and integrating applied AI into real-world customer and operational workflows.
Location: Remote, United Kingdom
Company
hirify.global is an energy startup building an integrated energy company across solar, batteries, generation projects, hardware, grid infrastructure, real-time power trading, distributed energy, and AI-driven customer solutions.
What you will do
Design, develop, and deploy AI-powered consumer features, including personalised energy recommendations and AI-assisted onboarding using energy bills.
Build and optimise internal AI tools for automation and workflow improvements across the company.
Integrate AI-driven features with backend platforms in collaboration with backend engineers and data scientists.
Align AI models with real-time market conditions, energy pricing, trading strategies, weather, and demand forecasts.
Monitor model and tool performance and apply current advances in applied AI and machine learning to energy problems.
Requirements
3+ years of software engineering experience, with requirements varying by role level.
Backend engineering experience with practical applied AI or machine-learning experience and a strong interest in the field.
Strong programming skills in Python or a similar language, with familiarity with AI/ML libraries such as TensorFlow or PyTorch.
Experience working with large-scale models, including LLMs and VLMs, and deploying AI-driven solutions into production.
Understanding of cloud technologies, containerisation, and scalable AI application development.
Ability to integrate AI/ML models into real-world applications with attention to usability and performance.
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment.
Experience with large datasets, particularly for demand and supply forecasting.
Nice to have
Experience or strong interest in energy markets and trading strategies.
Understanding of weather forecasting, energy demand patterns, and production modelling.
Exposure to NLP or related fields.
Culture & Benefits
Remote work in the United Kingdom; benefits may vary by location.
Competitive salary with equity eligibility and a biannual bonus scheme.
Fully expensed technology matched to role needs.
Private health insurance.
Breakfast and dinner allowance for office-based employees.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →