Full Stack Engineer – AI Systems
Trust In SODA · Switzerland
Apply & track with Apply EdgeFull Stack Engineer – AI Systems
Location: SwitzerlandSalary: CHF 90,000 -120,000About the CompanyAn innovative AI company is building a new generation of proactive applications designed to make everyday digital tasks more intelligent and useful.The product focuses on persistent context, AI-driven workflows and reliable real-world task completion, moving beyond traditional chatbot experiences.The RoleWe are looking for a Full Stack Engineer – AI Systems to help turn advanced AI capabilities into reliable, production-ready workflows.You’ll work across frontend, backend and AI integrations, designing systems that allow AI agents to plan, use tools, handle failures and complete multi-step tasks.What You'll DoBuild end-to-end features across frontend, backend and AI integrationsDesign agent workflows involving planning, tool use, failure and recoveryIntegrate LLMs, memory systems and external toolsBuild real-time AI interactions using streaming and partial resultsImprove reliability, observability and fallback mechanismsWork closely with ML, Backend and Product teamsTake features from concept through to productionWhat We're Looking ForStrong experience in full-stack software engineeringSolid understanding of system design and API architectureExperience with LLMs, RAG, AI agents or AI-powered applicationsStrong backend experience, ideally with Python and/or Node.jsExperience building production-grade software in fast-moving environmentsStrong ownership and ability to make pragmatic technical decisionsTech StackNext.js | Python | Node.js | PyTorch | OpenAI | Anthropic | Open-source LLMs | SQL/NoSQL | Kubernetes | DockerYou don't need experience with every technology listed — strong engineering fundamentals and AI experience are what matter most.Why Join?You’ll join a small, high-calibre engineering team with significant ownership and the opportunity to work on AI-native products from the ground up.The team moves quickly, values independent thinking and focuses on building AI systems that are reliable, proactive and genuinely useful.Interested?
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