Senior AI Engineer – Agentic Systems & LLM Applications

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node.js python typescript ai rag
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📋 Description

  • Design and implement autonomous agents and multi-agent orchestration systems.
  • Build production-grade applications on top of leading foundation models.
  • Architect advanced RAG pipelines and vector database strategies.
  • Develop tool-calling, planning, reasoning, and autonomous execution workflows.
  • Contribute to AI-powered developer tools and internal frameworks.
  • Establish evaluation frameworks and Evals for production AI systems.

🎯 Requirements

  • Proven experience with large language models, AI agents, or advanced AI technologies.
  • Deep understanding of agentic systems, tool calling, planning, and reasoning loops.
  • Expert-level proficiency in Python and/or TypeScript with Node.js.
  • Hands-on experience with LangChain, LlamaIndex, or custom AI orchestration frameworks.
  • Strong expertise with vector databases such as Pinecone, Weaviate, or Milvus.
  • Experience designing efficient machine learning and data pipelines.

🎁 Benefits

  • Fully remote opportunity with a global-first distributed team.
  • Primary hiring regions include the United States, Europe, and India.
  • Work on autonomous agents, LLM applications, advanced RAG, and AI-native infrastructure.
  • Exposure to leading foundation models and modern AI frameworks.
  • Significant technical ownership at the intersection of product engineering and frontier AI research.
  • Build production-grade AI systems rather than experimental prototypes.
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