Назад
4 дня назад

Applied AI Engineer, DNB

225 000 - 255 000GBP
Формат работы
hybrid
Тип работы
fulltime
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, DNB (AI/Claude): Helping technology companies build and scale production applications on the Claude Developer Platform with an accent on LLM application engineering, agent design, evaluation frameworks, and scalable architecture. Focus on pairing with customer engineering teams, developing prototypes and technical resources, and translating recurring engagement insights into product and engineering improvements.

Location: London, UK. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office attendance. Travel to customer sites is required for workshops and implementation support.

Annual salary: £225,000–£255,000 GBP. For sales roles, the stated range represents OTE; this role is presented with an annual compensation range.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Advise high-growth, technology-focused companies on building innovative use cases with the Claude Developer Platform.
  • Partner hands-on with customer engineering teams through pair programming, architecture reviews, and code contributions.
  • Build prototypes, evaluation suites, architecture diagrams, technical documentation, tutorials, and sample code.
  • Collaborate with Applied AI Architects and share engagement insights with Product, Engineering, and the Applied AI team.
  • Support developer communities through hackathons, webinars, technical office hours, and technical events.
  • Travel to customer sites for workshops, implementation support, and relationship building.

Requirements

  • 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder.
  • Experience in customer-facing or pre-sales technical roles, including scoping, designing, and delivering solutions with customers.
  • Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
  • Strong programming skills with proficiency in Python and experience building production applications.
  • Ability to work across industries and use cases, with strong technical communication and workshop facilitation skills.
  • Bachelor’s degree or equivalent education, training, or relevant professional experience.

Nice to have

  • Experience working with high-growth, technology-focused companies.
  • Experience with technical workshops, hackathons, or developer-focused events.
  • Experience building products and working directly with technical founders and engineering leaders.

Culture & Benefits

  • Collaborative work on large-scale AI research and product efforts focused on trustworthy and steerable AI.
  • Flexible working hours and an office environment designed for collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and benefits, including optional equity donation matching.
  • Visa sponsorship is available, subject to role and candidate eligibility.

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