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Engineering Director (GenAI Solutions)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal Engineer (GenAI): Leading the technical vision and architecture for an AI-powered location intelligence platform, developing conversational AI systems and integrating LLMs for real-time data streaming. Focus on designing and implementing end-to-end GenAI solutions from prototype to production, ensuring scalability, performance, and responsible AI practices within a B2B SaaS environment.

Location: Remote (Global)

Company

hirify.global is a rapidly growing unicorn product company transforming how organizations understand the physical world with its advanced location analytics platform.

What you will do

  • Lead the technical vision and architecture for GenAI products, ensuring scalability and performance.
  • Design and implement end-to-end AI systems, including LLM integration, agentic architectures, and RAG.
  • Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
  • Oversee model deployment, fine-tuning, and optimization for production environments.
  • Architect scalable microservices and cloud-native solutions for real-time AI applications.
  • Ensure responsible AI practices, including guardrails, performance monitoring, and ethical considerations.

Requirements

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 10+ years of software development experience, with 1+ years building production GenAI solutions in B2B SaaS environments.
  • Expert-level proficiency in backend engineering (Python, Java, Go, or Node.js) and modern frontend technologies (React/Next.js, TypeScript).
  • Hands-on experience with LLM-powered applications using frameworks like LangChain, LlamaIndex, and APIs from OpenAI/Anthropic/open-source models.
  • Demonstrated expertise in RAG systems, vector databases (Pinecone, Weaviate, ChromaDB), semantic search, and agentic AI architectures.
  • Strong foundation in data engineering (data pipelines, ETL) and MLOps practices (model versioning, A/B testing, monitoring).

Culture & Benefits

  • Join a pioneering company creating a new market.
  • Take a central and critical role in a rapidly growing tech company.
  • Opportunity to work with and learn from top-notch talent.
  • Competitive salary and excellent benefits.
  • Global remote workforce and commitment to equal opportunity.

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