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3 дня назад

Applied AI Engineer (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.

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