Agentic AI Engineer — LLM Systems in Production

mindX360

Dubai

On-site

AED 210,000 - 360,000

Full time

47 hours ago
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Job summary

Emaar Group is seeking a frontend-like AI/ML engineering role to design, build, and ship production-grade, LLM-powered agentic applications across the enterprise. You will drive multi-agent orchestration, tool-calling loops, and code-execution sandboxes, built on frameworks such as Claude Agent SDK, with a focus on reliable, secure deployments.

You will own end-to-end data paths, including ingestion, embeddings, vector stores, and evaluation, and partner with business stakeholders to deliver

Qualifications

  • Strong Python and systems engineering background with production-grade software experience.
  • Hands-on LLM and agent experience—orchestration, RAG, evals, and prompt engineering.
  • Experience with data pipelines, embeddings, vector stores, and production AI operations.
  • Comfort with containerization (Docker) and CI/CD-based deployment of AI workloads.
  • Ability to work across ambiguities and communicate outcomes to non-technical stakeholders.

Responsibilities

  • Design and ship LLM-powered agentic applications with multi-agent orchestration and tool-calling loops.
  • Architect RAG pipelines over enterprise data, including retrieval, context, and guardrails.
  • Own full data path: ingestion, embeddings, vector stores, evaluation.
  • Engineer prompts, context strategies, and agent memory for robust orchestration.
  • Build evaluation harnesses and production dashboards for insights.

Skills

Python
LLM engineering
Data pipelines
CI/CD
Docker
Multi-agent orchestration
Stakeholder communication

Education

Bachelor’s degree in CS/AI/Data Science/Engineering

Tools

Docker
Kubernetes
Claude Agent SDK

Job description

Emaar Group is seeking a frontend-like AI/ML engineering role to design, build, and ship production-grade, LLM-powered agentic applications across the enterprise. You will drive multi-agent orchestration, tool-calling loops, and code-execution sandboxes, built on frameworks such as Claude Agent SDK, with a focus on reliable, secure deployments.

You will own end-to-end data paths, including ingestion, embeddings, vector stores, and evaluation, and partner with business stakeholders to deliver

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