Artificial Intelligence Engineer
Indexed description
🚀 We’re Hiring: AI-Native Software Engineer | Abu Dhabi
We are looking for a strong AI-Native Software Engineer with hands-on experience building production-grade RAG, LLM and Agentic AI solutions.
This role is ideal for a software engineer who can design scalable AI systems, build multi-agent workflows, integrate enterprise APIs and critically review AI-generated code before it reaches production.
📍 Location: Abu Dhabi
🏢 Work Model: 5 days work from office
💼 Employment: Full-time
⏳ Notice Period: Immediate to 30 days
Experience : 5+ years
🧳 Candidates from India who are willing to relocate may apply.
Must-have skills
✅ Strong hands-on experience in RAG and LLM applications
✅ Production experience with Agentic AI and multi-agent workflows
✅ Experience with LangGraph, LangChain, AutoGen, CrewAI or similar frameworks
✅ Strong knowledge of document ingestion, chunking, embeddings, vector databases, hybrid search and reranking
✅ Strong backend development experience using Python, FastAPI, Flask or Django
✅ Experience with REST APIs, async processing and system design
✅ Cloud experience with Azure, AWS or GCP
✅ Knowledge of automated testing, CI/CD, security and code review
✅ Strong communication skills
Good to have
• Experience with AI coding tools such as Cursor, GitHub Copilot, Windsurf, Claude Code or Aider
• Experience integrating with SAP SuccessFactors, Workday, Oracle HCM or other enterprise platforms
• Exposure to MLOps, LLM evaluation, fine-tuning and enterprise identity systems
Important eligibility criteria
🔹 Valid passport is mandatory
🔹 Must be willing to relocate to Abu Dhabi
🔹 Must be comfortable working 5 days from the office
📩 Interested candidates can share their updated resume along with:
• Total and relevant experience
• Current location
• Notice period or last working date
• Current company
• Experience in RAG, LLM and Agentic AI
• Indian Number
• Willingness to relocate to Abu Dhabi
• Current and Expected salary in AED
Please apply only if you have strong, hands-on production experience in RAG and Agentic AI systems.
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