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1 день назад

Sr. AI Engineer (SaaS)

209 000 - 235 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Sr. AI Engineer (SaaS): Designing and shipping applied AI systems including RAG pipelines, agentic workflows, and LLM-powered features with an accent on production-grade reliability and MLOps. Focus on building AI-native experiences from prototype to production, optimizing model latency and cost, and integrating AI across the full stack.

Location: Hybrid (New York, NY) - In-office 3 days per week

Salary: $209,000 - $235,000

Company

A fast-growing product intelligence platform focused on improving society's experience with software through data-driven user insights.

What you will do

  • Design and build applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features.
  • Instrument and evaluate model outputs rigorously to define evaluation frameworks and mitigate hallucinations.
  • Own the MLOps lifecycle, including model deployment, monitoring, latency optimization, and cost management.
  • Contribute across the backend and frontend to ship complete, user-facing AI products.
  • Partner with product and design to frame problems and determine technical tradeoffs between prompting and fine-tuning.
  • Stay current on research regarding transformers, diffusion architectures, and emerging agent patterns.

Requirements

  • Deep hands-on experience shipping LLM-powered systems and agent orchestration frameworks.
  • Strong technical depth in system design, architecture, and identifying failure modes.
  • Expertise in model evaluation, including reasoning about overfitting and bias-variance tradeoffs.
  • Production MLOps experience with monitoring pipelines in live environments.
  • Solid full-stack fundamentals to build end-to-end AI products.
  • Must be based in New York, NY for a hybrid work arrangement (3 days per week in-office).

Nice to have

  • Experience fine-tuning foundation models.
  • Familiarity with AI safety considerations and guardrail frameworks.
  • Experience with LangChain, LlamaIndex, or custom orchestration frameworks.
  • Background in SaaS or product analytics environments.

Culture & Benefits

  • Hybrid work environment with designated office days.
  • Highly competitive employer-heavy health coverage with $0 premium options.
  • Strong 401(k) match and equity grants.
  • Flexible time off policy.
  • Culture based on core values: Bias to Act, Hone Your Craft, The Team is hirify.global, and Maniacal Focus.

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