AI Solutions Engineer - Production-Ready LLM & Data Apps

Sika AG; Zürich; On-site; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Social benefits

Pension fund

Accident insurance

Job summary

Sika AG in Switzerland is seeking an experienced AI Software Engineer to design, build and run enterprise AI solutions that connect to our data platform. You will develop LLM-based assistants, agents and retrieval apps across our enterprise data landscape.

You’ll move use cases from prototype to production, ensure data quality and security, and work closely with business teams to define success metrics and value. Fluency in English and strong software engineering background are required.

Qualifications

• Educational background in computer science, maths, physics, computer programming or similar.
• Experience as a software engineer building APIs and full-stack apps with CI/CD.
• Proven track record taking AI apps from prototype to production.
• Hands-on experience building agents and chatbots that access enterprise data.
• Experience with evaluating models and prompts for accuracy, cost and speed.
• Knowledge of data access and AI security risks.

Responsibilities

• Design, build and run AI solutions such as LLM-based assistants and retrieval applications.
• Move use cases from prototype to stable production, including deployment and monitoring.
• Collaborate with business teams to define value and success metrics.
• Connect AI applications to the data platform and internal apps, mindful of data quality and access rights.
• Stay informed on AI tooling and model options to guide adoption.

Skills

Full-stack development

AI production deployment

Agents & chatbots

Model evaluation

AI security

Stakeholder collaboration

Tool selection

English fluency

Education

Bachelor's degree in Computer Science/Math/Physics

Tools

Azure

Databricks

Job description

Sika AG in Switzerland is seeking an experienced AI Software Engineer to design, build and run enterprise AI solutions that connect to our data platform. You will develop LLM-based assistants, agents and retrieval apps across our enterprise data landscape.

You’ll move use cases from prototype to production, ensure data quality and security, and work closely with business teams to define success metrics and value. Fluency in English and strong software engineering background are required.