Remote Full-Stack AI Engineer - End-to-End Workflows

Axe Recruiting

United States

Remote

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

Axe Recruiting partners with a well-funded AI applications company to build the product layer that turns agent capability into reliable workflows. The role spans frontend, backend and AI integration, with ownership from idea through production.

You will design agent workflows, blend LLMs with tools, and ensure dependable performance across multi-step interactions. Join a fast-moving team and collaborate with ML, backend and product colleagues to ship features that endure in real-world usage,

Qualifications

  • Proven full stack experience across frontend and backend.
  • Strong grasp of system design and API architecture.
  • Experience with LLMs, RAG systems or AI-powered apps.
  • Pragmatic, ownership-driven mindset in ambiguous problems.
  • Ability to ship features from idea to production.
  • Comfort in a fast-moving environment with evolving requirements.

Responsibilities

  • Deliver features spanning frontend, backend and AI integration.
  • Design agent workflows that plan, call tools, handle failures and recover across steps.
  • Combine LLMs, memory and external tools into dependable systems.
  • Build real-time AI interactions with streaming data and low latency.
  • Improve reliability, observability and fallback paths across the stack.
  • Collaborate with ML, backend and product teams to release features.

Skills

Full stack engineering
System design
API architecture
LLMs / AI integration
Pragmatic engineering
Ownership
Fast-paced environment

Job description

Axe Recruiting partners with a well-funded AI applications company to build the product layer that turns agent capability into reliable workflows. The role spans frontend, backend and AI integration, with ownership from idea through production.

You will design agent workflows, blend LLMs with tools, and ensure dependable performance across multi-step interactions. Join a fast-moving team and collaborate with ML, backend and product colleagues to ship features that endure in real-world usage,

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