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Engineer Python Ai Genai Architect, Madrid

Engineer Python Ai Genai Architect, Madrid

GlobalsysinfoMadrid, Comunidad de Madrid, España
Hace 3 días
Descripción del trabajo

Overview

Engineer Python AI GenAI Architect

Position : Software Engineer Python AI (GenAI Architect)

Location : Madrid (Remote 100 )

Seniority Level : Software Engineer

Languages : Spanish (mandatory), English (desirable)

Sector : Banking / Financial Services

Role overview

We are seeking a Python Developer specialized in GenAI architecture to design, build and support libraries, scaffolds and reusable components that accelerate GenAI-based applications.

The role focuses on creating extensible tooling and microservices, researching state-of-the-art GenAI technologies, and supporting development teams across projects.

Key responsibilities

  • Design and implement reusable Python libraries, scaffolds and components for GenAI applications.
  • Build microservices using FastAPI to expose GenAI functionality.
  • Research, prototype and review current GenAI / LLM techniques and recommend adoption paths.
  • Support development teams with technical guidance, incident resolution and integration issues.
  • Apply clean code practices, design patterns and automated testing.
  • Package and run components in containers; collaborate on CI / CD automation.
  • Instrument and monitor services using cloud observability tools.

Required skills and experience

  • 5+ years professional experience in Python development.
  • Strong experience building reusable tools / modules and projects from scratch.
  • Hands-on with FastAPI and Python packaging / tools (Pip, Poetry).
  • Solid understanding of software engineering best practices, testing and design patterns.
  • Experience with containers (Docker) and production deployments.
  • Familiarity with AWS services (CloudWatch, X-Ray, AppRunner / Fargate, Lambda).
  • Experience with CI / CD workflows and tools (Git, Jenkins, Sonar).
  • Comfortable documenting solutions and collaborating in Agile teams.
  • Desirable

  • Practical experience with LLM libraries or GenAI research / prototyping.
  • Prior exposure to GenAI productionization (vector DBs, inference orchestration, prompt engineering).
  • Experience with observability and tracing for ML-backed services.
  • Contract details

  • Contract Type : Technical Assistance (Indefinite)
  • Work Format : Remote (100 )
  • Priority : Critical
  • Tech stack highlights : Python, FastAPI, Pip, Poetry, AWS CloudWatch, AWS X Ray, AWS AppRunner, AWS Fargate, AWS Lambda, Git

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