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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 20 часов Π½Π°Π·Π°Π΄

Solutions Engineer (AI)

182Β 600 - 295Β 350$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
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

ВСкст:
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TL;DR
Solutions Engineer (AI) (AgentControl): Building customer-facing AI solutions, integrations, technical content, and product demonstrations to scale AgentControl from market validation to an industry-leading product with an accent on multi-agent systems, LLM architecture, and AI agent evaluation. Focus on leading technical evaluations, designing integrations, translating customer feedback into product improvements, and enabling sales and technical teams.

Location: Remote - US

Pay: $182,600–$295,350 annually, depending on US geographic pay zone and location.

Company

hirify.global provides a software delivery platform for controlled feature releases, experimentation, personalization, and engineering productivity.

What you will do

  • Lead customer evaluations, implementations, and adoption of AgentControl, supporting activation and churn prevention.
  • Build integrations, architecture diagrams, whitepapers, tutorials, technical content, and customized product demonstrations.
  • Develop Solutions Engineering playbooks, best practices, competitor materials, and enablement programs with AI specialists and cross-functional teams.
  • Collect customer and market feedback, monitor product performance and user experience, and inform the AgentControl roadmap.
  • Support technical partnerships and publicly present AgentControl through conferences, webinars, and strategic engagements.
  • Lead proofs of value to validate technical wins and support revenue generation with major customers.

Requirements

  • Extensive experience building, implementing, or selling AI applications at scale.
  • Experience building multi-agent systems with frameworks such as LangGraph, AgentBuilder, or AgentCore.
  • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods.
  • Deep understanding of LLM mechanics and transformer architecture, including the concepts covered in β€œAttention is All You Need.”
  • Experience building or integrating MCP servers, strong Python skills, and experience with PyTorch or TensorFlow.
  • Typically 12 or more years of related experience, with strong software engineering fundamentals and the ability to communicate complex technology to technical audiences.

Culture & Benefits

  • Collaborative, respectful, humble, open, and inclusive working environment.
  • High-trust culture focused on transparency and teamwork.
  • Restricted Stock Units.
  • Health, vision, dental, and mental health benefits.

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†’