NewEngineering

AI Engineer – LLM

Stanford Nursery

مصر5h ago

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About the role

We're looking for an AI Engineer with hands-on experience building production-ready AI systems, particularly LLM agents, Retrieval-Augmented Generation (RAG), conversational memory, and tool integrations.

If you're passionate about building reliable, scalable AI solutions and turning cutting-edge AI capabilities into real-world products, we'd love to hear from you

What You'll Do• Build, optimize, and maintain AI agents and multi-step workflows.

  • Implement RAG pipelines, embeddings, and semantic search.
  • Develop conversational memory and user-context management systems.
  • Integrate AI agents with APIs, external services, and platform tools.
  • Implement function calling, tool calling, and structured outputs.
  • Improve prompt engineering, response quality, reliability, and guardrails.
  • Build AI evaluation frameworks and automated testing workflows.
  • Collaborate with Backend, Mobile, Product, and QA teams to deliver production-ready AI features.

What We're Looking For• Strong programming skills in Python.

  • Hands-on experience building LLM-powered applications and AI agents.
  • Experience working with OpenAI APIs or other LLM providers.
  • Practical knowledge of RAG, embeddings, vector databases, and semantic search.
  • Experience with LangChain, LangGraph, or similar AI frameworks.
  • Experience building production APIs using FastAPI.
  • Strong understanding of function calling, tool integration, and structured outputs.
  • Excellent debugging, analytical, and problem-solving skills.

Nice to HaveExperience with any of the following technologies

  • Qdrant and PostgreSQL
  • LangMem or similar AI memory solutions
  • OpenRouter
  • AWS and cloud-based AI deployments
  • Server-Sent Events (SSE) and WebSockets
  • AI evaluation, monitoring, and testing systems

Why Join Us?• Build real-world AI agents and intelligent workflows.

  • Solve challenging problems involving memory, context, retrieval, and AI reliability.
  • Collaborate with cross-functional teams in a remote-first environment.

Source: the employer's own careers page.

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