AI Systems Engineer: Production-Grade, Client-Facing

ekona; Basel; Hybride; CHF 120 000 - 190 000; Plein temps

Résumé du poste

ekona builds production-grade AI systems for clients in multiple industries including life sciences and supply chain, where quality is not optional. We’re looking for engineers who do not wait for perfect instructions, who explore, experiment, and fix problems with the right mix of engineering and AI.

If that sounds like you, keep reading. Understand problems deeply by engaging with clients, then build fast and robust systems that deploy in cloud environments.

Qualifications

• Several years of professional software engineering experience shipping to real users.
• Comfort with cloud-native development: containers, CI/CD, at least one major cloud platform.
• Hands-on experience building with LLMs and agent frameworks, or a track record of quickly learning new domains.
• Ability to talk to non-technical stakeholders and translate problems into working software.
• Strong bias toward shipping.

Responsabilités

• Engage directly with clients and domain experts to understand problems and map them to solutions.
• Prototype quickly, then turn prototypes into robust, production-ready systems; design and deploy multi-agent workflows and LLM-powered apps.
• Influence our technical roadmap and contribute to AI engineering playbooks and internal tooling.
• Own architecture, testing, deployment, observability, and iteration in cloud environments with modern engineering practices.

Connaissances

Software engineering

Cloud-native

LLMs & agents

Stakeholder communication

Shipping oriented

Description du poste

ekona builds production-grade AI systems for clients in multiple industries including life sciences and supply chain, where quality is not optional. We’re looking for engineers who do not wait for perfect instructions, who explore, experiment, and fix problems with the right mix of engineering and AI.

If that sounds like you, keep reading. Understand problems deeply by engaging with clients, then build fast and robust systems that deploy in cloud environments.