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Open nowFirst seen 12 hours ago

Full Stack AI Engineer

Hyphen Connect71 open roles

Where
Remote
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Your applicationOpen nowFull Stack AI EngineerHyphen Connect · Remote
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 12 hours ago

The posting

Our client is an AI startup building a proactive AI assistant that helps users complete real-world tasks through intelligent, goal-driven workflows.

We are looking for a Full Stack AI Engineer to build the product layer that transforms AI capabilities into intuitive, production-ready workflows. In this role, you'll design how AI agents operate, recover from failures, and consistently deliver value to users in real-world scenarios.

Responsibilities

  • Build end-to-end product features across the frontend, backend, and AI integrations.
  • Design agent workflows that manage planning, tool usage, failures, and recovery across multi-step tasks.
  • Integrate LLMs, memory, and external tools into reliable production systems.
  • Build real-time AI experiences with streaming responses, partial outputs, and low-latency interactions.
  • Improve system reliability, observability, and fallback mechanisms.
  • Collaborate closely with ML, backend, and product teams to deliver features from concept to production.
  • Continuously iterate and improve the product based on user feedback and real-world failure patterns.

Requirements

  • Strong experience in full stack development.
  • Solid understanding of system design and API architecture.
  • Experience building applications powered by LLMs, RAG systems, or other AI technologies.
  • Ability to navigate ambiguity and make pragmatic engineering decisions.
  • Strong ownership with the ability to drive features from concept to production.
  • Comfortable working in fast-paced environments with evolving priorities and requirements.
  • Tools and technologies: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, Open-source LLMs, SQL, NoSQL, Kubernetes, Docker.
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