# Senior AI Engineer - LLM, RAG & Agent Systems

> SSC HR Solutions · Cairo, Egypt (Remote) · — · Posted 2026-09-17

**Workplace:** remote

**Department:** Engineering

## Description

Senior AI Engineer – LLM, RAG & Agent Systems

### About the Role

We are looking for a **Senior AI Engineer** to own the AI layer of our data platform—building production-grade **LLM applications, retrieval systems, intelligent agents, and natural-language interfaces over enterprise data**.

You will work across RAG, embeddings, vector and hybrid search, agent/tool-calling architectures, LLM evaluation, and self-hosted open-weight models.

This is a hands-on engineering role for someone who has moved beyond prototypes and has **built, deployed, and operated LLM systems in production**.

### What You’ll Own

-   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 appropriate permissions, scoping, validation, and guardrails.
-   Develop natural-language interfaces over **enterprise data and structured databases**.
-   Build and maintain **LLM evaluation frameworks**, including test sets, regression suites, grounding, hallucination, and answer-quality evaluation.
-   Work within our data platform and engineering stack rather than relying solely on hosted AI APIs.
-   Deploy and optimize **self-hosted open-weight models** using technologies such as 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.

### Required Qualifications

-   **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**:

-   Chunking strategies
-   Embeddings
-   Vector databases/search
-   Hybrid search
-   Reranking
-   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**, rather than only consuming hosted LLM APIs.
-   Strong software engineering fundamentals and experience taking systems from prototype to production.

### Strongly Preferred

-   Experience with **self-hosted open-weight models**.
-   Production experience with **vLLM or equivalent model-serving infrastructure**.
-   Understanding of GPU resource management and inference optimization.
-   Experience with **fine-tuning, LoRA, or other model-adaptation techniques**.
-   Experience with **Text-to-SQL** systems.
-   Experience designing or using a **semantic layer** over real enterprise data models.
-   Experience combining unstructured documents with structured enterprise data in a single AI application.

### What Success Looks Like

You will be successful in this role if you can build an AI layer that is:

-   **Accurate** — answers are grounded in enterprise data.
-   **Reliable** — quality is measured through automated evaluation and regression testing.
-   **Secure** — agents and tools respect user permissions and data boundaries.
-   **Scalable** — models and retrieval infrastructure perform reliably in production.
-   **Maintainable** — AI capabilities are built as production software, not isolated experiments.
-   **Useful** — users can interact naturally with complex enterprise data.

## Apply

[Apply at SSC HR Solutions](https://apply.workable.com/ssc-hr/j/44CA6AF4A7/apply)

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