Senior AI Engineer: LLMs, GenAI & Cloud-Native Systems

Xebia Group

Colombia

A distancia

COP 240.000.000 - 360.000.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
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Descripción de la vacante

Xebia Group in Colombia seeks a Senior AI Engineer to design, build, and deploy production-grade AI solutions leveraging Large Language Models and AI agents. You will develop scalable backend services with Python, FastAPI, and cloud-native architectures, integrating platforms like Azure OpenAI or AWS, and contributing to architecture and best practices across cross-functional teams.

You will mentor engineers, drive prompt engineering strategies, and help translate business requirements into

Formación

  • 10+ years of software engineering experience, with recent hands-on Generative AI solutions.
  • Strong Python and REST API development experience.
  • Hands-on experience with AI agent frameworks (LangChain, CrewAI, or similar).
  • Experience in Retrieval-Augmented Generation (RAG) architectures and cloud platforms.

Responsabilidades

  • Design, develop, and maintain AI-powered applications using LLMs and Generative AI technologies.
  • Build AI agents and RAG solutions for intelligent workflows and knowledge-based apps.
  • Integrate AI platforms such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or equivalents.
  • Develop scalable backend services and APIs with Python and FastAPI.
  • Collaborate with frontend engineers to deliver end-to-end AI apps (e.g., React).
  • Design prompt engineering strategies to improve accuracy and UX.
  • Implement intelligent routing, semantic search, vector databases, and knowledge retrieval.
  • Deploy and manage cloud-native AI apps using AWS and Terraform.

Conocimientos

Python
REST API development
AI concepts
Agile software development
Communication

Herramientas

LangChain
Terraform
Docker
FastAPI
AWS
React

Descripción del empleo

Xebia Group in Colombia seeks a Senior AI Engineer to design, build, and deploy production-grade AI solutions leveraging Large Language Models and AI agents. You will develop scalable backend services with Python, FastAPI, and cloud-native architectures, integrating platforms like Azure OpenAI or AWS, and contributing to architecture and best practices across cross-functional teams.

You will mentor engineers, drive prompt engineering strategies, and help translate business requirements into

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