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6 дней назад

AI Software Engineer (Generative AI)

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

Текст:
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TL;DR
AI Software Engineer (Generative AI): Building and deploying full-stack AI applications for real-world customer systems using LLMs, embeddings, vector databases, RAG, and AI agents with an accent on practical integration, scalability, security, and responsible AI. Focus on designing production-ready generative AI solutions, integrating tools and services through MCP, and managing cloud-based containerized deployments with Docker, Kubernetes, and CI/CD.

Location: Hybrid in Bogotá, Colombia, with 8 weeks of remote work per year from outside the usual geographical area

Company

hirify.global develops engineering and technology solutions for leading organizations, including practical Artificial Intelligence applications.

What you will do

  • Design and develop AI applications using LLMs, generative models, embeddings, and related technologies.
  • Implement RAG, prompt engineering, vector databases, and AI agents to improve solution quality and user experience.
  • Develop and integrate full-stack solutions across backend and frontend systems.
  • Collaborate with software developers, data scientists, and business stakeholders to integrate AI into existing workflows.
  • Deploy AI solutions to production using DevOps practices, cloud environments, Docker, Kubernetes, and CI/CD.
  • Apply AI security, safety, privacy, and ethics principles.

Requirements

  • Strong software engineering background with full-stack development experience in Python.
  • Knowledge of LLMs, Generative AI, embeddings, vector databases, RAG, and prompt engineering.
  • Experience or knowledge of LangChain, Flowise, Milvus, AI Agents, and Model Context Protocol (MCP).
  • Knowledge of GitLab, Jenkins, Docker, Kubernetes, DevOps practices, and at least one cloud platform such as IBM Cloud, AWS, Azure, or Google Cloud.
  • Knowledge of generative AI models for software development, such as OpenAI Codex or Claude Code, plus familiarity with multimodal models and speech, image, video, and audio technologies.
  • English at B2 level or higher, with understanding of AI security, safety, and ethics principles.

Nice to have

  • Experience deploying LLM or Generative AI applications in real-world environments.
  • Experience with RAG architectures, AI agents, tool-based AI systems, and API integration.

Culture & Benefits

  • Flexible working hours, including reduced hours on Fridays and during the summer.
  • Personalized career development plan, training opportunities, and language-learning support.
  • National and international mobility, with a relocation package for employees coming from another country.
  • Competitive salary with continuous reviews, flexible compensation, and selected brand discounts.
  • Medical, dental, and accident insurance, plus physical, mental, and financial wellbeing programs.

Hiring process

  • Recruitment includes personal and telephone contact, either in person or online, with the talent acquisition team.

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