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11 часов Π½Π°Π·Π°Π΄

Lead AI Software Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
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

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TL;DR

Lead AI Software Engineer (AI): Driving the development of next-generation AI-powered testing and quality engineering solutions with an accent on LLM integration, autonomous validation, and scalable architecture. Focus on designing intelligent test generation systems, mentoring engineering teams, and ensuring reliability in enterprise-grade AI production environments.

Location: Must be based in or able to work from Austin, Texas (Hybrid)

Company

hirify.global is a global leader in AI-driven, codeless software testing and quality engineering, empowering enterprises to accelerate digital transformation.

What you will do

  • Lead AI-focused engineering initiatives and guide the architecture of intelligent testing capabilities.
  • Design and deploy LLM-powered solutions for natural language test creation and autonomous maintenance.
  • Mentor engineers through design reviews and hands-on technical leadership.
  • Collaborate with product and design teams to translate customer needs into AI-powered features.
  • Define and standardize testing strategies for AI systems, including model evaluation and reliability validation.
  • Partner with domain experts to optimize testing solutions for complex enterprise ecosystems like SAP.

Requirements

  • 6+ years of experience building production-grade software using Python.
  • 3+ years of experience designing and deploying AI/ML or LLM-based solutions in production.
  • Must be authorized to work in the U.S. without sponsorship.
  • Strong knowledge of generative AI, LLM ecosystems, and agent-based systems.
  • Deep expertise in software engineering best practices, distributed systems, and CI/CD.
  • Excellent communication skills for explaining AI concepts to technical and non-technical stakeholders.

Nice to have

  • Experience in test automation, QA engineering, or quality platforms.
  • Familiarity with vector databases and retrieval-augmented generation (RAG).
  • Background working on enterprise SaaS platforms.
  • Experience with cloud platforms, preferably Azure.

Culture & Benefits

  • Opportunity to shape the future of AI-powered software quality engineering.
  • Work on industry-leading products used by global enterprises.
  • Collaborate with a talented, mission-driven team.
  • Competitive compensation and career growth opportunities.

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†’