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1 дСнь назад

Applied AI Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Japan
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Applied AI Engineer (AI): Building and optimizing technical advisory for customers adopting Claude, with an accent on architecture design, evaluation frameworks, and cutting-edge LLM implementation patterns. Focus on guiding customers from technical discovery through successful deployment and addressing complex business challenges with AI while maintaining safety and reliability.

Location: Hybrid, based in Tokyo, Japan. Expected to be in the office at least 25% of the time. Visa sponsorship is available.

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems for the benefit of society.

What you will do

  • Serve as a technical advisor to customers deploying new products and workflows with hirify.global models.
  • Partner with account executives to understand customer requirements and architect technical solutions.
  • Guide technical architecture decisions and help customers build state-of-the-art LLM products via API.
  • Develop customized pilots, prototypes, and evaluation suites for customer deployment.
  • Lead hands-on technical workshops and code reviews with customer engineering teams.
  • Identify common design patterns and contribute insights to Product and Engineering teams.

Requirements

  • 4+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, Software Engineer, or Technical Product Manager with customer-facing desire.
  • Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
  • Strong programming skills with proficiency in Python and experience building production applications.
  • Expertise working with common LLM implementation patterns, prompt, agent, and retrieval frameworks.
  • Ability to navigate ambiguity and execute across domains with intellectual openness.
  • High cooperation mindset for cross-organizational collaboration and balancing priorities.

Culture & Benefits

  • Work as a single cohesive team on large-scale, high-impact AI research efforts.
  • Value advancing long-term goals of steerable, trustworthy AI through empirical science.
  • Competitive compensation and benefits, with optional equity donation matching.
  • Generous vacation and parental leave, along with flexible working hours.
  • Collaborative group with frequent research discussions.
  • Opportunity to contribute to advancing safe, beneficial AI systems through creative technical applications.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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