Damac Group is hiring AI Managers / Senior AI Engineers to build and deploy production-grade AI systems and data platforms across the business. This is a hands-on engineering role — not research, not experimentation.
About the Role:
You will design, build, and deploy real AI systems and data pipelines that solve operational business problems. You'll operate as a lead engineer within a small pod, owning delivery from problem definition through to production deployment.
We are hiring across two tracks:
- Data Engineering
- AI/ML Engineering (Gen AI & LLMs)
Key Impact Areas:
- Build and deploy production-grade data pipelines and AI systems
- Translate business use cases into scalable technical solutions
- Develop APIs, workflows, and system integrations across enterprise platforms
- Deliver solutions across AI/ML, Gen AI, LLMs, and automation workflows
- Ensure systems are production-ready, performant, and scalable
- Lead delivery across small engineering pods
Track A – Data Engineering
- Build scalable ETL/ELT pipelines and data infrastructure
- Work with cloud data platforms (Databricks)
- Develop batch and streaming data pipelines
- Enable clean, structured data layers for AI/ML systems
Track B – AI/ML Engineering (Gen AI & LLMs)
- Build and deploy AI/ML and LLM-based systems
- Develop RAG pipelines, vector database integrations, and AI workflows
- Work with orchestration frameworks (e.g. LangChain or similar)
- Deploy models into production environments with real users
What We're Looking For:
- Strong hands-on engineer with real production deployment experience
- High proficiency in Python (and SQL for data track)
- Experience building APIs, pipelines, and distributed systems
- Exposure to LLMs, Gen AI tools, or AI/ML systems in production
- Ability to operate 70–80% hands-on coding
- Strong ownership mindset — you build, ship, and own outcomes
