AI Engineer (Generative AI) job description
Role summary
We are hiring an AI Engineer (Generative AI) to design, build and run LLM-powered products on our private data. You will own retrieval pipelines, orchestration, evaluation and deployment, working closely with product, data and security teams. Success means assistants that answer accurately with citations, stay within latency and cost budgets, and pass security review before every release.
Responsibilities
- Design and ship RAG pipelines with chunking, hybrid search, re-ranking and citation grounding.
- Build orchestration with LangChain or LangGraph, function calling and structured outputs.
- Create offline and online evaluation using RAGAS, LLM-as-judge and human review loops.
- Optimise latency, token cost and caching for production-scale workloads.
- Harden applications against prompt injection, data leakage and abuse.
- Instrument live usage and iterate on quality with product and data teams.
Requirements
- 4+ years of software engineering, including LLM or ML features running in production.
- Strong Python, API design, async services and automated testing.
- Hands-on experience with Azure OpenAI, AWS Bedrock or Vertex AI.
- Practical use of vector stores such as pgvector, Pinecone or Weaviate.
- You have defined, measured and improved quality metrics for an LLM system.
- Working knowledge of LLM security risks, including the OWASP LLM Top 10.
Experience bands offered by Remote Pro Ai (years) Mid 4–6 · Senior 6–9 · Lead 9+
Nice-to-have
- Azure AI Engineer Associate or AWS ML Specialty certification.
- Arabic proficiency for bilingual assistants and evaluation sets.
- Delivery in regulated sectors under PDPL, SAMA or GDPR.
- Agent tooling such as LangGraph multi-agent flows or MCP integrations.
What this role costs, by market
In-house figures are indicative annual gross salaries for a Senior-level direct hire, before employer costs such as social insurance, medical cover, visas, recruitment fees and equipment. Remote Pro Ai seats are monthly and all-inclusive. Remote Pro Ai’s base monthly rates for vetted Mid, Senior and Lead engineers are at least 30% below the median published by comparable vetted-talent vendors serving the GCC, and 37–47% below the European and US medians (Remote Pro Ai price benchmark, October 2026). Design, marketing, business-development and sales seats are priced at the base band.
| Market | Cur. | In-houseannual salary | Seatfrom, per month | Seat × 12from, per year |
|---|---|---|---|---|
| Saudi Arabia | SAR | 480,000 | 27,400 | 328,800 |
| United Arab Emirates | AED | 684,000 | 26,900 | 322,800 |
| Qatar | USD | —1 | 7,310 | 87,720 |
| United States | USD | —1 | 7,310 | 87,720 |
| Germany | EUR | —1 | 6,540 | 78,480 |
| United Kingdom | GBP | 97,200 | 5,540 | 66,480 |
1 “—” means we do not yet publish an in-house benchmark for that market. Remote Pro Ai pricing is quotation-based; VAT shown separately.
GCC & Egypt Tech Talent Salary & Rate Guide 2026, Remote Pro Ai Research estimates: the midpoint of the Senior monthly gross range × 12. Benchmarks are updated every October. Updated: October 2026.