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Senior Advanced Analytics Engineer (AI)

Senior Advanced Analytics Engineer (AI) | Fulltime

Job Description:

Job Description

  • Design, develop, and deploy AI agents capable of autonomous reasoning and task execution across enterprise workflows.
  • Build and optimize LLM-powered solutions using leading models.
  • Develop and enhance Retrieval-Augmented Generation (RAG) pipelines using vector databases to ensure high accuracy and scalability.
  • Automate and augment business workflows (e.g., sales, project management, finance, localization) using AI agents.
  • Collaborate closely with backend and frontend teams to integrate AI services into production systems.
  • Perform prompt engineering, evaluation, and optimization to improve model reliability and output quality.

Job Requirements:

Job Requirements

  • 3+ years overall of software professional services.
  • Bachelor's degree in computer science or equivalent.
  • Experience in AI/ML engineering, applied NLP, or LLM-based solutions.
  • Strong experience working with LLMs and agent frameworks (e.g., LangChain, AutoGen, CrewAI or similar).
  • Proficiency in Python, with experience in building APIs (FastAPI, Flask, or similar).
  • Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
  • Experience with RAG architectures, embeddings, and semantic search.
  • Experience deploying solutions using Docker
  • Familiarity with cloud platforms (AWS, Azure, GCP, or OCI).
  • Experience with Git, CI/CD pipelines, and software engineering best practices.
  • Experience in building software development using AI assistants (e.g. Claude code, Codex, GitHub copilot or similar)

Equal opportunity:

All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process


Posted 1 weeks ago
  • Job Location
  • Egypt
  • Job Code
  • 2122
Job Overview
  • Experience
  • 3+ years overall of software professional services Years
  • Job Level:
  • Early Career
  • Education
  • Bachelor's degree in computer science or equivalent

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