Senior AI Engineer: Build Scalable, Trustworthy LLM Systems

Globant

United Arab Emirates

On-site

AED 350,000 - 520,000

Full time

19 hours ago
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Benefits offered by this job

Comprehensive benefits
Diversity & inclusion

Job summary

Globant in Ajman, UAE is hiring a Senior AI Engineer for an onsite role to design and deploy AI-driven solutions that empower our partners to deliver personalized digital experiences. You will lead AI system engineering, orchestration of complex LLM workflows, and build scalable, observable cloud-native services.

Key focus areas include RAG pipelines, tool gateway validation, and robust testing to prevent hallucinations, with exposure to distributed systems, Python/TypeScript, and modern API

Qualifications

  • 4+ years of professional experience shipping and operating production AI/ML systems at scale.
  • Strong proficiency in Python and/or TypeScript with clean, testable code.
  • Solid grasp of concurrency, fault tolerance, and API design (REST/GraphQL) in regulated environments.
  • Hands-on experience building/shipping LLM-based systems, RAG components, tool calling mechanisms, and AI safety features.
  • Experience building automated evaluation pipelines to validate non-deterministic AI behavior.
  • Cloud native: containerized workloads, CI/CD pipelines, and cloud environments (AWS, Azure, or GCP).

Responsibilities

  • AI & Agent System Engineering to deliver AI-driven solutions.
  • Orchestration: implement intent classification flows, tool routing, multi-step reasoning, session memory, and structured output parsing.

Skills

Python
TypeScript
Distributed Systems
LLM-based AI
Testing pipelines
Cloud Native

Tools

REST/GraphQL
Docker/Kubernetes

Job description

Globant in Ajman, UAE is hiring a Senior AI Engineer for an onsite role to design and deploy AI-driven solutions that empower our partners to deliver personalized digital experiences. You will lead AI system engineering, orchestration of complex LLM workflows, and build scalable, observable cloud-native services.

Key focus areas include RAG pipelines, tool gateway validation, and robust testing to prevent hallucinations, with exposure to distributed systems, Python/TypeScript, and modern API

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