Junior AI Engineer

Jobtailor

Köln

Vor Ort

EUR 60.000 - 90.000

Vollzeit

14 Tage+

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Zusammenfassung

Jobtailor in Germany seeks a GenAI-focused software engineer to develop end-to-end generative AI applications, collaborating with data scientists and engineers to deliver impactful solutions.

You will integrate GenAI services into robust cloud backends, build scalable architectures, and support clients from concept through production deployment with a strong emphasis on German-language clarity.

Qualifikationen

  • Degree, vocational training, or a comparable qualification.
  • Strong proficiency in Python and relevant libraries for API development (FastAPI, Pydantic), as well as AI-specific frameworks and tools.
  • Initial experience in building RAG infrastructures (LLMs, embeddings & vector databases) in an Azure context (or similar).
  • Initial experience with CI/CD workflows and infrastructure-as-code in a cloud context.
  • Very good German language skills and the ability to present complex topics clearly and understandably.

Aufgaben

  • You will work from day one on exciting AI projects, take on responsibility, and learn from the best.
  • Pioneering work with GenAI projects: Work closely with our Data Scientists and Engineers to build a strong team that develops end-to-end generative AI applications and drives innovative solutions.
  • Integration and utilization of GenAI: Integrate and orchestrate services from cutting-edge AI infrastructures into a robust backend — from the data source to the user interface.
  • Scalable cloud architectures: Develop scalable software and infrastructures that accelerate AI adoption for our clients and ensure long-term success.
  • Consulting & workshops: Deliver real value by advising and supporting our clients from concept through to production deployment.

Kenntnisse

Python
FastAPI
Pydantic
AI frameworks & tools
RAG infrastructures
CI/CD workflows
Infrastructure-as-code
German language skills

Ausbildung

Degree or vocational qualification

Tools

Azure
Vector databases
Embeddings

Jobbeschreibung

Responsibilities
  • You will work from day one on exciting AI projects, take on responsibility, and learn from the best.
  • Pioneering work with GenAI projects: Work closely with our Data Scientists and Engineers to build a strong team that develops end-to-end generative AI applications and drives innovative solutions.
  • Integration and utilization of GenAI: Integrate and orchestrate services from cutting‑edge AI infrastructures into a robust backend — from the data source to the user interface.
  • Scalable cloud architectures: Develop scalable software and infrastructures that accelerate AI adoption for our clients and ensure long‑term success.
  • Consulting & workshops: Deliver real value by advising and supporting our clients from concept through to production deployment.
Requirements
  • Degree, vocational training, or a comparable qualification.
  • Strong proficiency in Python and relevant libraries for API development (FastAPI, Pydantic), as well as AI‑specific frameworks and tools.
  • Initial experience in building RAG infrastructures (LLMs, embeddings & vector databases) in an Azure context (or similar).*
  • Initial experience with CI/CD workflows and infrastructure‑as‑code in a cloud context.
  • Very good German language skills and the ability to present complex topics clearly and understandably.
Core Competencies

Demonstrates expertise in developing scalable generative AI applications using Python and relevant libraries, while effectively integrating AI infrastructures and delivering client‑focused solutions. Proficient in CI/CD workflows and infrastructure‑as‑code within cloud environments, with strong communication skills in German.

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