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ekona is looking for engineers who do not wait for perfect instructions. They explore, experiment, break problems down, and build solutions that matter. They enjoy ambiguity because it gives them room to think.
If you can sit with a client, understand their pain, and fix it with the right mix of engineering and AI, this is for you. You’ll ship end-to-end, from problem framing to production-grade deployments, in a fast-moving, Swiss-reliable environment.
For people who figure things out, stay curious, and build things that actually work.
At ekona, we build production-grade AI systems for clients in multiple industries including life sciences and supply chain, where quality is not optional. They trust us because we think independently, move fast, and deliver with Swiss reliability.
We're looking for engineers who do not wait for perfect instructions. Who explore, experiment, break problems down, and build solutions that matter. Who enjoy ambiguity because it gives them room to think. Who can sit with a client, understand their pain, and fix it with the right mix of engineering and AI.
If that sounds like you, keep reading.
Real engineering. Real users. Real impact.
Understand problems deeply
Engage directly with clients and their domain experts. Ask the right questions, map the problem, challenge assumptions.
Build fast, build well
Prototype quickly, then turn prototypes into robust, production-ready systems. Design and deploy multi-agent workflows and LLM-powered applications. Combine modern software engineering with state-of-the-art AI tooling.
Ship end-to-end
Own your work from architecture through testing, deployment, observability, and iteration in cloud environments, with modern engineering practices.
Shape how we work
Influence our technical roadmap. Help develop our AI engineering playbook, frameworks, and internal tooling. Your ideas will be heard.
The Exact Stack Matters Less Than How You Think, Learn, And Build. That Said, You'll Likely Be a Fit If You Have
Nice to have: domain experience in life sciences, pharma, supply chain, or finance; knowledge graphs, RAG systems, or LLM observability.
If you're happiest planning, specifying, and polishing without ever putting something in front of a user, this probably isn't the right place.
If you want to ship impactful AI products alongside a small team that holds itself to a high bar, it probably is.