AI Engineer

SMETOOLS

Multiple Vacancies

Posted on 9 Dec

Experience

2 - 7 Years

Job Location

Cairo - Egypt

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

2 Vacancies

Job Description

Roles & Responsibilities

We are looking for a Senior AI Engineer to help us scale and optimize advanced AI products, including RAG-powered knowledge assistants, multimodal retrieval systems, and optimized LLM workflows. If you re passionate about architecture, efficiency, and building real, user-impacting AI systems we want you.

  • Architect and implement end-to-end RAG systems, including semantic indexing, chunking, and hybrid retrievers.
  • Build intelligent agents using LangGraph and LangChain with multi-step reasoning and orchestration.
  • Develop multimodal retrievers (audio, text, images, PDFs) and integrate them with our product workflows.
  • Optimize token consumption, performance, and latency across models and providers.
  • Integrate and deploy AI models including OpenAI, Gemini (Google AI), and AWS Bedrock.
  • Build backend components in Python (FastAPI, serverless functions, pipelines).
  • Manage and integrate with Firebase, including Firestore, Cloud Functions, and authentication flows.
  • Deploy and scale workloads on Google Cloud or AWS (Compute, Functions, Storage, Vectors).
  • Collaborate closely with product and engineering teams to rapidly prototype and ship features.

Desired Candidate Profile

  • Strong hands-on experience with RAG architecture, vector search, semantic search, and embeddings.
  • Deep understanding of chunking strategies, indexing, metadata techniques, and retrieval evaluation.
  • Proficiency in LangGraph (preferred) or LangChain for agent and workflow development.
  • Experience working with Gemini models (Google AI) and/or AWS AI services.
  • Expertise in Python for AI model integration, backend logic, and data pipelines.
  • Strong understanding of Firebase ecosystem (Firestore, Storage, Functions).
  • Knowledge in tokenization, cost optimization, caching, and inference scaling.
  • Experience building multimodal retrieval systems.
  • Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 2-5 years of hands-on experience in AI, machine learning, or data science roles.

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • AI Engineer

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SMETOOLS


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