AI Systems Full-Stack Engineer: Real-time Workflows

United States Digital Space LLC

Germany (OH)

On-site

USD 104,000 - 150,000

Full time

14 days+

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Job summary

A1 in Germany is seeking a Full Stack Engineer - AI Systems to design and implement end-to-end product workflows that combine frontend, backend, and AI integrations. You will architect agent behaviors, manage tool use, and ensure reliability in production environments.

You will work with ML, backend, and product teams to ship features with low latency, strong observability, and robust fallbacks, driving practical AI-powered workflows for users.

Qualifications

  • Proven experience delivering full stack features across frontend and backend.
  • Strong understanding of system design and API architecture.
  • Experience with LLMs, RAG systems, or AI-powered applications.

Responsibilities

  • 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.

Skills

Full stack engineering
System design
API architecture
LLMs
RAG systems

Tools

Docker
Kubernetes
Python
Node.js
Next.js
PyTorch
SQL
noSQL

Job description

A1 in Germany is seeking a Full Stack Engineer - AI Systems to design and implement end-to-end product workflows that combine frontend, backend, and AI integrations. You will architect agent behaviors, manage tool use, and ensure reliability in production environments.

You will work with ML, backend, and product teams to ship features with low latency, strong observability, and robust fallbacks, driving practical AI-powered workflows for users.

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