AI Engineer

Artificialy; Lugano; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Full-time contract

Competitive compensation

Scientific environment

Mentorship & learning

Zusammenfassung

Artificialy in Switzerland seeks an AI Engineer to take ML/LLM projects from prototype to production, fine-tuning, deployment, inference optimization, monitoring, and continuous improvement alongside AI scientists and software engineers using Docker, Kubernetes, and CI/CD. You hold a Master’s in CS or engineering, have 3+ years in AI roles, and strong Python/SQL with experience in TensorFlow or PyTorch and cloud platforms.

English proficiency required; on-site 80%+.

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

• Take ML/LLM projects from prototype to production, including fine-tuning, deployment, inference optimization, monitoring and continuous improvement.
• Collaborate with AI scientists, software engineers, infrastructure and domain experts to integrate solutions into enterprise ecosystems using modern deployment tooling.
• Work in project teams to deploy and operate production ML/LLM systems with Docker, Kubernetes and CI/CD.

Kenntnisse

Python

SQL

English

ML/LLM deployment

Cost optimization

TensorFlow

PyTorch

Cloud platforms

Docker

Kubernetes

CI/CD

Monitoring/observability

Ausbildung

Master's degree in Computer Science or Engineering

Tools

Databricks

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 Lugano or Zurich.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