AI Software Engineer - Basel

pFor people who figure things out, stay curious, and build things that actually work. /p pAt bekona /b, we build production-grade AI systems for clients in multiple industries including blife sciences /b and bsupply chain /b, where quality is not optional. They trust us because we think independently, move fast, and deliver with bSwiss reliability /b. /p pWe'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. /p pIf that sounds like you, keep reading. /p h3What You'll Do /h3 h3Understand problems deeply /h3 pEngage directly with clients and their domain experts. Ask the right questions, map the problem, challenge assumptions. /p h3Build fast, build well /h3 pPrototype 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. /p pOwn your work from architecture through testing, deployment, observability, and iteration in cloud environments, with modern engineering practices. /p h3Shape how we work /h3 pInfluence our technical roadmap. Help develop our AI engineering playbook, frameworks, and internal tooling. bYour ideas will be heard. /b /p h3What We're Looking For /h3 pThe exact stack matters less than bhow you think, learn, and build /b. That said, you'll likely be a fit if you have: /p ul libSeveral years of professional software engineering experience /b, shipping systems to real users /li libComfort with cloud-native development /b: containers, CI/CD, at least one major cloud platform /li libHands-on experience building with LLMs and agent frameworks /b, or a clear track record of picking up new technical domains fast /li libThe ability to talk to non-technical stakeholders /b and translate their problems into working software /li libA strong bias toward shipping /b /li /ul pbNice to have: /b domain experience in life sciences, pharma, supply chain, or finance; knowledge graphs, RAG systems, or LLM observability. /p h3Why ekona /h3 ul libEngineering quality actually matters. /b Our clients feel the difference, and so will you. /li libReal projects, regulated industries. /b The work has weight. /li libFounding-team environment. /b Autonomy, trust, and direct influence on where we go next. /li /ul h3Is This You? /h3 pIf you're happiest planning, specifying, and polishing without ever putting something in front of a user, this probably isn't the right place. /p pIf you want to ship impactful AI products alongside a small team that holds itself to a high bar, it probably is. /p #J-18808-Ljbffr