Senior AI Engineer – LLM, RAG, Agent Systems

🔥 8 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SSC HR Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

SSC HR Solutions is a full-service HR consultancy that provides comprehensive human resource solutions tailored to meet the specific talent growth needs of businesses. With operating locations across Egypt, United Arab Emirates, Saudi Arabia, and Bahrain, SSC HR Solutions specializes in employee management, from hiring to termination, ensuring that businesses thrive in a competitive landscape. The company prides itself on understanding client needs and delivering high-quality services that foster growth and partnership.

📋 Description

• Design and build production-grade LLM applications and RAG systems • Own retrieval architecture, including chunking, embeddings, vector search, hybrid search, and reranking • Build agentic and tool-calling systems with permissions, scoping, validation, and guardrails • Develop natural-language interfaces over enterprise data and structured databases • Build and maintain LLM evaluation frameworks with test sets, regression suites, grounding, hallucination, and answer-quality evaluation • Work within the data platform and engineering stack rather than relying solely on hosted AI APIs • Deploy and optimize self-hosted open-weight models using vLLM or equivalent serving infrastructure • Optimize inference performance, GPU utilization, latency, throughput, and cost • Explore and implement fine-tuning or model adaptation when appropriate • Collaborate with data and software engineers to turn AI capabilities into reliable production products

🎯 Requirements

• 5+ years of software or data engineering experience • At least 2 years of hands-on experience building and deploying production LLM-based systems • Strong Python engineering skills • Deep understanding of RAG and retrieval architecture, including chunking strategies, embeddings, vector databases/search, hybrid search, reranking, and retrieval evaluation • Experience building LLM agents or tool-calling systems • Understanding of permissions, access control, scoping, validation, and guardrails for AI systems • Strong understanding of LLM evaluation, including test datasets, regression testing, grounding, and hallucination detection • Experience working directly with data platforms, databases, or enterprise data • Strong software engineering fundamentals and experience taking systems from prototype to production • Experience with self-hosted open-weight models, vLLM or equivalent model-serving infrastructure, GPU resource management, inference optimization, fine-tuning, LoRA, Text-to-SQL, semantic layers, and combining unstructured documents with structured enterprise data (strongly preferred)