AI Resume Builder
JOIN NOW Post Job
Acuity knowledge Partners
AI

AI Engineer (f/m/x)

Acuity knowledge Partners · Graz, ST, AT

Actively hiring Posted 3 months ago

Your responsibilities

As our next AI Engineer you design, build, and deploy production-grade AI systems in close collaboration with data scientists, data engineers, and our clients' technical teams:

  • Design and implementation of AI solutions — from proof of concept to production deployment in the cloud or on-premises
  • Building and maintaining robust data preprocessing pipelines, model serving infrastructure, and AI-powered applications in Python
  • Development of LLM-based solutions including RAG architectures, AI agents, and multi-modal applications using frameworks such as LangChain, LlamaIndex, or Microsoft Agent Framework
  • Integration of Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure AI Foundry) into scalable cloud-native architectures
  • Close collaboration with your team in the conception and architecture of end-to-end AI systems for our clients
  • Supporting and facilitating technical workshops with client teams
  • Working across different industries on diverse AI engineering use-cases

Skills and experience

  • Educational background in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
  • Strong Python skills and experience building production-grade AI/ML systems, including familiarity with libraries such as scikit-learn, pandas, numpy, PyTorch, or Hugging Face Transformers
  • Hands-on experience with Azure cloud services, particularly Azure OpenAI Service, Azure Machine Learning, Azure Functions, and Azure DevOps
  • Solid understanding of LLM application development — including prompt engineering, fine-tuning, RAG pipelines, vector databases and evaluation frameworks
  • Experience with MLOps practices: CI/CD for ML, model versioning (e.g. MLflow) and containerization (Docker, Kubernetes)
  • Nice-to-have: Experience with cloud deployments and infrastructure-as-code (e.g. Terraform or Bicep)
  • Motivation and passion for staying on the cutting edge of AI and continuously honing your skills
  • Minimum monthly gross salary: € 3.800 (14 times per year, based on 38.5h/week, no all-in contract). We always ensure a competitive salary adjusted to your qualifications and experience.
  • Comfortable speaking in both German and English

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Machine Learning Data Science Data Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support