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2 часа назад

Applied AI Engineer

200 000 - 325 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
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

Applied AI Engineer (AI): Building intelligent agents for an enterprise automation platform with an accent on reasoning, end-to-end task execution, and production-grade LLM integration. Focus on optimizing model performance, designing evaluation pipelines, and transforming complex IT workflows into adaptive software.

Location: On-site in San Francisco, CA

Salary: $200,000 – $325,000

Company

hirify.global is an AI-native automation platform transforming enterprise operations by building intelligent agents that reason, take action across systems, and automate complex workflows.

What you will do

  • Design, build, and deploy AI-powered features from the ground up.
  • Develop and optimize applied AI systems including model selection, fine-tuning, and inference pipelines.
  • Integrate AI capabilities into production environments while ensuring scalability and reliability.
  • Collaborate across engineering and product teams to deliver impactful customer experiences.
  • Evaluate model performance continuously and refine results based on user feedback.
  • Establish AI engineering best practices and drive technical excellence across the team.

Requirements

  • Professional experience as a software or machine learning engineer with a focus on applied AI.
  • Proven track record of developing and deploying production-grade AI systems, specifically using large language models.
  • Strong proficiency with prompt engineering, fine-tuning, and evaluation techniques.
  • Experience managing APIs, data pipelines, and cloud environments like AWS or GCP.
  • Commitment to high-quality user experiences and scalable system design.
  • Degree in Computer Science or a related technical field.

Nice to have

  • Experience with RAG (Retrieval-Augmented Generation), vector databases, or orchestration frameworks.
  • Familiarity with the tech stack: Go, gRPC, React, TypeScript, Kubernetes, and Terraform.
  • Previous experience in early-stage startups or zero-to-one product development.

Culture & Benefits

  • Opportunity to shape a fundamentally new AI product and contribute to early-stage company growth.
  • Direct impact on product success with support from top-tier investors.
  • Collaborative and fast-paced environment that values innovation, ownership, and accountability.
  • Competitive compensation package including equity.

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