Manager- AI / Senior AI Engineer
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Key skills for this role
About the Role
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.
Key Skills for This Role
Full Job Posting
Overview
Damac Group is hiring
Ai Managers And 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
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