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3 дня назад

Applied AI Engineer (AI)

190 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
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 end-to-end AI applications, retrieval pipelines, APIs, and user-facing solutions with an accent on LLM integration, RAG, agents, and Pinecone's knowledge infrastructure. Focus on designing production systems, improving retrieval quality, latency, reliability, and cost, and translating customer use cases into working software.

Location: New York City or US Remote; hybrid

Salary: $190K–$270K cash compensation annually; equity award included in total compensation.

Company

hirify.global provides an AI knowledge platform with Database, Nexus, and Marketplace products that support AI applications for more than 10,000 customers and 1M developers worldwide.

What you will do

  • Design, build, and ship end-to-end AI applications using hirify.global's retrieval and knowledge infrastructure.
  • Develop full-stack solutions across frontend interfaces, backend services, APIs, data pipelines, and LLM integrations.
  • Build reference applications, integrations, and reusable components for developers and customers.
  • Experiment with RAG, agents, tool use, context engineering, and agent memory.
  • Work with customers, partners, engineering, and product teams to translate real-world problems into working software.
  • Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications, and share technical insights through code, examples, and technical content.

Requirements

  • Strong software engineering background with experience designing, building, and shipping production applications.
  • Proficiency in Python and/or TypeScript, including modern backend frameworks and frontend technologies such as React or Next.js.
  • Experience building APIs, integrating external services, and working with databases and cloud infrastructure.
  • Ability to independently take projects from rough requirements through implementation and deployment.
  • Hands-on experience building applications with LLMs, embeddings, vector databases, or retrieval-augmented generation.
  • Familiarity with modern AI development tools, frameworks, and APIs, including practical understanding of retrieval quality, evaluation, latency, reliability, and cost.
  • Curiosity about agentic applications, context management, and AI-driven workflows.
  • Builder's mindset, comfort with ambiguous requirements, pragmatic technical decision-making, and ability to move between rapid prototypes and production-quality implementations.
  • Ability to communicate technical ideas clearly with engineers, customers, and other stakeholders, and translate user feedback into better solutions.

Nice to have

  • Experience with hirify.global or other vector databases and search technologies.
  • Experience building agentic applications, agent memory systems, or complex RAG pipelines.
  • Contributions to open-source projects, developer tools, or technical communities.
  • Experience working directly with customers on technical projects.
  • Experience deploying and operating AI applications in production.

Culture & Benefits

  • Hybrid work arrangement for New York City or US Remote.
  • Medical, dental, vision, and mental health coverage.
  • 401(k) plan and equity award.
  • Flexible time off and paid parental leave.
  • Annual company retreat and work-from-home equipment stipend.
  • Benefits and eligibility may vary by country of employment.

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