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24 часа назад

Senior AI Engineer / Senior Machine Learning Engineer (GenAI & Agentic AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Egypt
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer / Senior Machine Learning Engineer (GenAI & Agentic AI): Building and deploying production AI solutions, including LLM-powered applications, RAG pipelines, knowledge bases, and agentic workflows, with an accent on machine learning fundamentals, model evaluation, and vector-based retrieval. Focus on designing multi-step agents with tool usage and state management, evaluating and monitoring AI systems, and translating complex business and engineering challenges into practical solutions.

Location: EG-Cairo, Egypt (Al Emdad & Al Tamween)

Time type: Full time

Company

hirify.global operates in a multinational environment and develops solutions for business and engineering challenges.

What you will do

  • Design, develop, evaluate, and deploy machine learning and AI solutions for real-world problems.
  • Build Generative AI and LLM-powered applications using modern foundation models.
  • Design RAG pipelines, knowledge bases, semantic and hybrid search, and vector-based retrieval systems.
  • Develop agentic AI and multi-step workflows with LangGraph and LangChain, including tool usage, routing, reasoning, and state management.
  • Create evaluation and monitoring approaches for ML, LLM, RAG, and agentic AI systems.
  • Collaborate with software engineers, data engineers, product teams, and domain experts to translate complex challenges into practical AI solutions.

Requirements

  • 3–6 years of professional experience in data science, machine learning, AI engineering, or a related field.
  • Strong machine learning and data science fundamentals.
  • Strong proficiency in Python and common ML/AI libraries.
  • Hands-on experience developing and deploying production ML/AI solutions.
  • Practical experience with Generative AI, LLMs, RAG, embeddings, vector databases, semantic search, or knowledge-based AI systems.
  • Experience with LLM orchestration and agentic AI frameworks, preferably LangGraph and/or LangChain, plus strong analytical, problem-solving, and communication skills.

Nice to have

  • Production-grade AI agents or multi-agent systems.
  • LLM/RAG evaluation, observability, guardrails, and reliability techniques.
  • Cloud AI platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.
  • Elasticsearch, OpenSearch, Solr, FAISS, pgvector, Pinecone, Milvus, or similar technologies.

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