Live opening · Posted 6 days ago

AI Engineer - LLM AI Agents| Remote

Stanford Nursery · Egypt (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyStanford Nursery
LocationEgypt (Remote)
Work modeYes
SkillsPython, AWS, PostgreSQL
SourceLinkedin
ListedPosted 6 days ago

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About the role

Description supplied by the original job listing.

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 Have
Experience 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.

Work arrangement
Yes

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