AI Engineer | Zurich | Switzerland

Acquism Sarl

Zürich, Switzerland

3 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Zürich, Switzerland

Tech stack

API

Artificial Intelligence

DevOps

Python

Machine Learning

Performance Tuning

TensorFlow

Software Engineering

PyTorch

Delivery Pipeline

Prompt Engineering

GIT

Kubernetes

Information Technology

HuggingFace

Machine Learning Operations

Api Design

Software Version Control

Docker

Job description

We are seeking an AI Engineer to collaborate with cross-functional teams in solving compliance and regulatory business challenges through innovative AI-powered solutions. You will contribute across the full lifecycle of AI model development-from problem definition to deployment-ensuring high-performance, scalable, and ethically responsible AI solutions.

In this role, you will work on model development, training, fine-tuning, prompt engineering, and continuous improvement based on real-world performance and stakeholder feedback. You will design, build, test, and integrate AI-powered applications while adhering to best software engineering practices. Effective communication with both technical and non-technical stakeholders is essential to align project goals and deliverables.

Responsibilities

Collaborate with cross-functional teams to address compliance and regulatory business problems using AI-driven solutions.
Contribute to the entire AI model lifecycle, including problem definition, development, training, fine-tuning, deployment, and ongoing improvements.
Develop, test, and integrate AI-powered applications with strong adherence to software engineering best practices.
Implement and refine RAG-based generative AI solutions and prompts.
Continuously evaluate and improve model performance using real-world feedback.
Communicate effectively with stakeholders across technical and business domains.

Requirements

3-5 years of experience in software engineering or a related role, with exposure to AI/ML concepts and applications.
Strong proficiency in Python for production-level software development.Hands-on experience in application development, including building and deploying APIs.
Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and OpenAI API, and their integration into applications.
Experience with RAG-based generative AI solutions and strong knowledge of prompt engineering.
Understanding of machine learning concepts, including model types, training, fine-tuning, and deployment.
Knowledge of MLOps best practices (model lifecycle management, monitoring, scalability) is a plus.
Experience with source control, DevOps, and CI/CD pipelines (Git, Docker, Kubernetes).
Strong understanding of software engineering principles, including scalability, performance optimization, and maintainability.
A collaborative team player with a proactive approach to problem-solving and adaptability to new technologies.
Degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent experience).

Competencies