AI Systems Full-Stack Engineer: Proactive Workflows

ActAI; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

ActAI is seeking a Full Stack Engineer - AI Systems to build production-grade workflows across frontend, backend, and AI integrations. You will design how agents operate, fail, recover, and deliver value to users, while collaborating with ML, backend, and product teams.

Ideal candidates bring strong full-stack experience, system design, and experience with LLMs or AI-powered apps. You will work in a fast-moving environment with evolving requirements and a focus on reliability and low-latency AI

Qualifikationen

• Strong experience in full stack engineering (frontend + backend).
• Solid understanding of system design and API architecture.
• Experience with LLMs, RAG, or AI-powered applications.
• Ability to handle ambiguity and make pragmatic engineering decisions.
• Strong ownership - able to take features from idea to production.

Aufgaben

• Build end-to-end product features across frontend, backend, and AI integrations.
• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.
• Design real-time AI interactions with streaming, partial results, and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms.
• Collaborate closely with ML, backend, and product teams to ship features end-to-end.
• Continuously iterate based on real usage and failure modes.

Kenntnisse

Full stack

System design

API design

LLMs integration

Ambiguity tolerance

Ownership mindset

Tools

Next.js

Python

Node.js

PyTorch

SQL

Docker

Jobbeschreibung

ActAI is seeking a Full Stack Engineer - AI Systems to build production-grade workflows across frontend, backend, and AI integrations. You will design how agents operate, fail, recover, and deliver value to users, while collaborating with ML, backend, and product teams.

Ideal candidates bring strong full-stack experience, system design, and experience with LLMs or AI-powered apps. You will work in a fast-moving environment with evolving requirements and a focus on reliability and low-latency AI