AI Systems Full-Stack Engineer for Real-Time Workflows

European Recruitment BV

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

European Recruitment BV is seeking a Full Stack Engineer specializing in AI Systems to build the product layer that translates AI capabilities into production-ready workflows. You will design how agents operate, fail, recover, and deliver consistent value to users in a fast-moving environment.

Ideal candidates have strong full stack experience, system design expertise, and familiarity with LLMs and RAG systems to ship features end-to-end with ownership.

Qualifications

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

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
LLMs / RAG
Ambiguity handling
Ownership
Fast-moving environments

Tools

Next.js
Python
Node.js
PyTorch
OpenAI / Anthropic
SQL
NoSQL
Kubernetes
Docker

Job description

European Recruitment BV is seeking a Full Stack Engineer specializing in AI Systems to build the product layer that translates AI capabilities into production-ready workflows. You will design how agents operate, fail, recover, and deliver consistent value to users in a fast-moving environment.

Ideal candidates have strong full stack experience, system design expertise, and familiarity with LLMs and RAG systems to ship features end-to-end with ownership.

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