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Full Stack Engineer – AI Systems

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Onsite

Full Stack Engineer – AI Systems

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Full Stack Engineer – AI Systems

Skills

SQL QueriesNextDockerNodePythonPyTorchMachine LearningAIKubernetes

1 month ago

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Important information


Contract type:

Permanent

Location:

Switzerland

Work mode:

Onsite

Published on:

21 September 2026

What they need


Full Stack Engineer – AI Systems

Location: Switzerland

Salary: CHF 90,000 -120,000

About the Company

An 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 Role

We 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 Do

  • Build end-to-end features across frontend, backend and AI integrations
  • Design agent workflows involving planning, tool use, failure and recovery
  • Integrate LLMs, memory systems and external tools
  • Build real-time AI interactions using streaming and partial results
  • Improve reliability, observability and fallback mechanisms
  • Work closely with ML, Backend and Product teams
  • Take features from concept through to production

What We're Looking For

  • Strong experience in full-stack software engineering
  • Solid understanding of system design and API architecture
  • Experience with LLMs, RAG, AI agents or AI-powered applications
  • Strong backend experience, ideally with Python and/or Node.js
  • Experience building production-grade software in fast-moving environments
  • Strong ownership and ability to make pragmatic technical decisions

Tech Stack

Next.js | Python | Node.js | PyTorch | OpenAI | Anthropic | Open-source LLMs | SQL/NoSQL | Kubernetes | Docker

You 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? Apply now or get in touch to find out more.

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