Open role
Senior AI Engineer
Build agentic systems for our clients and take them into production, from the first client conversation through to the system that runs afterwards.
- Location
- Zürich, Switzerland
- Hours
- Full-time
- Work model
- Hybrid
- Working language
- English, German strongly encouraged
About Faviens
Faviens is a boutique AI company in Zürich, agentic systems in particular. We work with clients across Switzerland, on the problems that slow their businesses down.
We build agentic AI applications on the current edge of what the tooling allows, and run them in production, in the cloud or on premises. Our own operating model is fully agentic, across every part of the company.
Faviens is led by a team with a decade in ML and AI on one side. On the other, two decades of business and business development experience at some of the world's largest tech companies and at fast-scaling scaleups.
We work in three modes: as a delivery partner for tailored applications, pipelines, and products, as a sparring partner for strategy, roadmap, and internal initiatives, or as a workshop partner training teams in the right practices.
We move fast, and are lean enough to stay current with the latest AI tools. We have fewer layers than a large consultancy or corporation, and a learning curve that is steep, focused and uncomplicated.
We are looking for proactive, goal-oriented self-starters that want to create change end to end. Come and build high-end agentic AI for our clients, and the engine the company itself runs on.
The role
The Senior AI Engineer builds agentic systems for our clients and takes them into production. This is a full-time, hybrid role based in Zürich.
For engineers who want the whole app lifecycle, from the first client conversation to the system that runs afterwards, and a lot of say in how it gets built.
What you will do
- Build complex agentic systems and take them into production, together with the evaluation and guardrails that say whether a non-deterministic system got better or worse.
- Operationalise AI and data products in the cloud, or on premises, with infrastructure as code, CI/CD, observability and cost control.
- Bring data engineering best practices to the pipelines and transformations these systems depend on, and to the models that run on top.
- Set the engineering pace, with gen AI coding tools fully leveraged on top of a strong software engineering foundation.
- Work directly with client business units and IT, from the first conversation through to the running system.
- Bring clients along with workshops and upskilling, so they can operate what we built.
Qualifications
Agentic and generative AI in production
Agent architecture, harness design, LLM orchestration, evaluation and guardrails. A complex system you delivered that someone still operates.
Cloud engineering with infrastructure as code
Terraform in particular. GCP for preference, Azure or AWS equally welcome.
Data engineering delivered end to end
Ingestion, transformation and pipelines you have run in production, with the schema and data quality decisions behind them. Data science on top of that is a plus.
Software engineering, and the tools on top of it
Strong enough to design system architecture and write the code by hand, Python in particular, and the fluency to drive gen AI coding tools far enough that most of the build runs autonomously.
Comfort working directly with a business
And the judgement to say when AI is not the answer. An industry or consulting background helps; enthusiasm for working directly with clients is a must.
Languages and work authorisation
English as a working language, in writing and in front of a client. German strongly encouraged, though not a requirement. Work authorisation for Switzerland, or an existing right to relocate here.
The part a CV does not show
You have fun starting things, you proactively look for solutions, and you hold your work to the highest standard. What you get back is creative freedom, like-minded colleagues, and projects that are truly yours.