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Senior GenAI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior GenAI Engineer (AI/Python): Designing and deploying RAG architectures and integrating LLM capabilities into enterprise platforms with an accent on scalability, security, and observability. Focus on building robust AI pipelines, optimizing prompt engineering, and ensuring high-performance production environments.

Location: Hybrid (Buenos Aires, Cordoba, Argentina)

Company

hirify.global is a global provider of business and tech advisory, enterprise solutions, and full-cycle software development services.

What you will do

  • Design and develop Generative AI solutions and RAG architectures using vector databases and semantic search.
  • Integrate LLM capabilities from OpenAI, Google, and Anthropic into enterprise products and platforms.
  • Build scalable AI pipelines, APIs, and backend services using Python, FastAPI, and LangChain.
  • Implement cloud-native solutions on Azure and AWS, including CI/CD and infrastructure-as-code.
  • Optimize prompts, embeddings, and AI workflows to improve accuracy and efficiency.
  • Ensure high standards of security, performance, and observability for AI applications in production.

Requirements

  • 8–10+ years of enterprise software development experience.
  • Advanced proficiency in Python and frameworks such as LangChain, LangGraph, and FastAPI.
  • Hands-on experience with LLMs (GPT, Gemini, Claude) and vector databases (FAISS, ChromaDB, Azure AI Search).
  • Cloud expertise in Azure and AWS, including storage services (Blob, S3).
  • Proficiency with Docker, Kubernetes, CI/CD pipelines, and Terraform.
  • Deep understanding of AI security best practices, including prompt injection prevention and access control.

Nice to have

  • Experience with Azure Data Factory and Event Hub.
  • Exposure to enterprise AI solutions like Microsoft Copilot or Google Gemini.

Culture & Benefits

  • Long-term project with real ownership and professional impact.
  • Collaborative environment emphasizing innovation, teamwork, and continuous learning.
  • Opportunities to deepen expertise in Generative AI and enterprise-scale AI solutions.
  • Equal opportunity employer committed to diversity and inclusion.

Hiring process

  • Application review followed by a Talent Acquisition interview.
  • Technical interview focusing on problem-solving and technical expertise.
  • Potential customer interview for alignment on role and expectations.
  • Job offer.

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