Full-Stack AI Systems Engineer — Build Proactive Workflows

Bjak

Germany (OH)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Bjak is hiring a Full Stack Engineer - AI Systems to build product layers that turn AI capabilities into usable, production-grade workflows. You will design how agents operate, fail, recover, and deliver consistent value to users.

Join a team focusing on end-to-end features, integrating LLMs, memory, and external tools, with emphasis on real-time AI interactions, system reliability, and low latency.

Qualifications

  • Experience in full stack development across frontend and backend.
  • Experience with LLMs, RAG, or AI-powered applications.
  • Ability to handle ambiguity and pragmatic engineering decisions.
  • Strong ownership and production-grade delivery mindset.
  • 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 memory and external tools into reliable systems.
  • 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
System design
LLMs / AI systems
API architecture
Ownership
Fast-paced environment

Tools

Next.js
Python
NodeJs
Pytorch
OpenAI / Anthropic / LLMs
SQL & noSQL
Kubernetes
Docker

Job description

Bjak is hiring a Full Stack Engineer - AI Systems to build product layers that turn AI capabilities into usable, production-grade workflows. You will design how agents operate, fail, recover, and deliver consistent value to users.

Join a team focusing on end-to-end features, integrating LLMs, memory, and external tools, with emphasis on real-time AI interactions, system reliability, and low latency.

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