AI Engineer

Artificialy; Zürich; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Full-time permanent contract

Competitive compensation and growth</n

Mentorship and continuous learning

Zusammenfassung

Artificialy is seeking an AI Engineer to join our Switzerland-based team in Zurich or Lugano, with onsite work of 80% or more. Candidates must be based in Switzerland or willing to relocate.

You will drive projects from prototype to production, fine-tune and deploy ML/LLM systems, and optimize cost and latency, collaborating with AI scientists, software engineers, and domain experts using Docker, Kubernetes, and CI/CD.

Qualifikationen

• Master's degree in Computer Science, Engineering, or equivalent.
• 3+ years of working experience as AI Engineer or in a similar role.
• Experience deploying and operating ML/LLM systems in production (serving, monitoring, cost/latency optimization).
• Strong programming skills (Python, SQL) and familiarity with deployment tooling (Docker, Kubernetes, CI/CD).
• Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in English.

Aufgaben

• Your responsibilities will span the full path from prototype to production - fine-tuning, deployment, inference optimization, monitoring, and continuous improvement of ML and LLM systems.
• Projects may involve LLM serving and inference stacks, cost/latency optimization, structured-output reliability, model monitoring pipelines, or productionizing solutions designed alongside AI scientists.
• You will work in project teams alongside AI scientists, software engineering, infrastructure, and domain experts to integrate solutions smoothly into enterprise ecosystems using modern deployment tooling (Docker, Kubernetes, CI/CD).

Ausbildung

Master's degree in Computer Science, Engineering, or equivalent

Tools

Python

SQL

Docker

Kubernetes

CI/CD

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Databricks

vLLM

Jobbeschreibung

Artificialyis an AI company based in Switzerland, with offices in Lugano and Zurich. We design and deliver AI solutions that are impactful, transparent, and tailored to real-world industry needs.

Founded in 2020 by pioneers with over 40 years of combined experience in the field, our team brings together talented engineers, physicists, and mathematicians from across Europe. We are driven by curiosity, technical excellence, and a shared ambition to build AI systems that make a tangible difference.

Working Location

The role can be based in Zurich or Lugano.You must be willing to work onsite at least 80% of the time. Candidates must be based in Switzerland or willing to relocate to Switzerland.

About the Role

• Your responsibilities will span the full path from prototype to production - fine-tuning, deployment, inference optimization, monitoring, and continuous improvement of ML and LLM systems.
• Projects may involve LLM serving and inference stacks, cost/latency optimization, structured-output reliability, model monitoring pipelines, or productionizing solutions designed alongside AI scientists.
• You will work in project teams alongside AI scientists, software engineering, infrastructure, and domain experts to integrate solutions smoothly into enterprise ecosystems using modern deployment tooling (Docker, Kubernetes, CI/CD).

Qualificationsand Skills:

• Master's degree in Computer Science, Engineering, or equivalent.
• 3+ years of working experience as AI Engineer or in a similar role
• Experience deploying and operating ML/LLM systems in production (serving, monitoring, cost/latency optimization).
• Strong programming skills (Python, SQL) and familiarity with deployment tooling (Docker, Kubernetes, CI/CD).
• Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in English.

Nice to Have:

• Experience with LLM inference stacks (e.g., vLLM) and structured-output reliability.
• Familiarity with Databricks or distributed data frameworks.
• Experience in finance or other regulated industries.

Weoffer:

• Full-timepermanentcontract
• Competitivecompensationandgrowthopportunities
• A stimulating scientific environment with an informal working atmosphere
• Mentorship and continuous learning and close relationship withcutting-edgeresearch teams