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Senior AI & ML Engineer (AI)

194Β 000 - 228Β 000$
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

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TL;DR

Senior AI & ML Engineer (LLM): Building and scaling an agentic platform to power conversational experiences and workflows with an accent on orchestration, tool use, and evaluation frameworks. Focus on shipping production-ready LLM features, optimizing prompt strategies, and implementing agent-driven development practices.

Location: United States

Salary: $194,000 - $228,000 USD

Company

An AI-driven ticket marketplace providing a seamless event-discovery and purchasing experience for millions of users.

What you will do

  • Design and ship LLM-powered features and agentic workflows for production.
  • Build and maintain evaluation frameworks, prompt testing pipelines, and regression suites to ensure AI reliability.
  • Develop orchestration layers including agent routing, tool use, and multi-step workflow coordination.
  • Optimize prompt engineering strategies and structured output patterns across the platform.
  • Collaborate with product, engineering, and data teams to translate customer needs into AI system designs.
  • Establish and evolve AI-augmented development practices and guardrails for the entire engineering team.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5–8 years of professional software engineering experience.
  • At least 1 year of experience building LLM-powered or AI/ML systems in production.
  • Deep fluency in Python and familiarity with LLM SDKs (e.g., OpenAI Agents SDK).
  • Strong backend fundamentals including APIs, state management, and cloud infrastructure.
  • Daily use of AI agents for coding (e.g., Claude Code, Cursor) is required.

Nice to have

  • Experience with multi-agent orchestration patterns (handoffs, agents-as-tools).
  • Prior experience with ML model serving infrastructure, feature stores, or ML data pipelines.

Culture & Benefits

  • Culture based on ownership, testing, observability, and operational excellence.
  • Inclusive environment that values diverse perspectives and collaborative building.
  • Emphasis on AI-first engineering to accelerate the development lifecycle.
  • Competitive salary aligned with market median benchmarks.

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†’