6 дней назад
AI Software Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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