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2 часа Π½Π°Π·Π°Π΄

Sr. AI Transformation Engineer

242Β 200 - 486Β 000$
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°
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
Sr. AI Transformation Engineer (Agentic AI): Building and deploying production-grade agentic AI applications and integrations that transform business and technical workflows across Roku, with an accent on LLM systems, enterprise APIs, data platforms, and measurable adoption. Focus on designing AI-native operating models, connecting disparate data sources, and driving change management from discovery through production rollout.

Location: San Jose, United States. Hybrid work is generally expected in the office Monday through Thursday, with Fridays generally flexible for remote work.

Salary: $242,200–$486,000 annual base salary for California.

Company

hirify.global operates a TV streaming platform connecting consumers, content publishers, advertisers, and the television ecosystem.

What you will do

  • Drive AI deployments from opportunity discovery and scoping through system design, development, testing, production rollout, and adoption.
  • Embed with business and technical teams to identify high-value opportunities for agentic automation.
  • Design and build production-grade agentic AI applications, integrations, and reusable platform patterns.
  • Connect AI solutions to data platforms, internal systems, enterprise APIs, pipelines, and metric layers.
  • Lead onboarding, enablement, change management, and feedback cycles to achieve trusted user adoption.
  • Define measurable business impact and mentor teammates across functions and initiatives.

Requirements

  • 5+ years of software engineering, full-stack engineering, or technical deployment experience shipping production systems.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Production-grade coding skills in Python and/or JavaScript/TypeScript.
  • Hands-on experience building or deploying LLM-, generative-model-, or agentic-framework-powered systems.
  • Experience with RAG, prompt engineering, agent orchestration, tool use, human-in-the-loop controls, model evaluation, and MLOps/LLMOps.
  • Familiarity with AWS, Azure, or GCP; Docker/Kubernetes; CI/CD; modern data architectures; and relational databases.

Culture & Benefits

  • Hybrid working environment with regular office collaboration and flexible Fridays where applicable.
  • Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
  • Global mental health and financial wellness support, with local healthcare, commuter, and retirement options including 401(k)/pension where applicable.
  • Fast-paced, collaborative culture focused on practical problem-solving, ownership, and delivering built solutions.

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†’