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2 дня назад

Applied AI Engineer – Agentic Systems (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Applied AI Engineer – Agentic Systems (AI): Design, build, and deploy LLM-powered autonomous agents and multi-step workflows for enterprise use cases with an accent on tool calling, state management, context engineering, and secure integrations. Focus on building production-grade Python systems, evaluating agent performance, controlling hallucinations and latency, and translating complex business processes into reliable AI architectures.

Location: On-site in Dubai, United Arab Emirates

Company

hirify.global is a UAE-based AI and data consultancy delivering secure, scalable intelligent systems for enterprise and financial services clients.

What you will do

  • Design and implement multi-step agent loops, state machines, and tool-calling mechanisms for autonomous enterprise workflows.
  • Build context-management pipelines and RAG modules grounded in dynamic enterprise knowledge sources.
  • Develop secure integrations between LLMs, agents, enterprise databases, legacy business applications, and modern protocols such as MCP.
  • Write production-ready Python with automated testing, structured output validation, fallback logic, and human-in-the-loop controls.
  • Instrument tracing and evaluation suites to benchmark performance, diagnose hallucination loops and latency spikes, and optimize token costs.
  • Collaborate with client technical teams and business sponsors to define technical designs, acceptance criteria, and system architectures.

Requirements

  • Demonstrable personal experience implementing AI agents, multi-agent frameworks, tool calling, and state-management systems.
  • Advanced Python proficiency focused on maintainable code, pytest testing, code reviews, and Git version control.
  • Practical experience integrating commercial and open-weight LLM APIs, designing prompts, validating structured outputs, and handling model and tool failures.
  • Experience evaluating LLM applications with representative task sets, failure-mode analysis, regression testing, and application-tracing tools.
  • Ability to balance reasoning quality, system reliability, inference latency, and operational cost.

Nice to have

  • Experience deploying and supporting LLM agents used by active business teams or external customers.
  • Familiarity with LangGraph, AutoGen, CrewAI, LlamaIndex Workflows, or custom state-machine implementations.
  • Hands-on experience with MCP, Docker, and cloud deployment on AWS or Azure.
  • Prior experience delivering technical solutions in regulated enterprise environments such as banking, financial services, or insurance.

Culture & Benefits

  • On-site work in Dubai within a specialist AI and data consultancy.
  • Gold Level personal health insurance and individual visa sponsorship.
  • Professional development, certification support, and role-related subscription reimbursement.
  • Opportunity to work on cutting-edge AI projects with career advancement opportunities.
  • Monthly employee incentive program and an inclusive environment supporting diverse thinking styles.

Hiring process

  • Be prepared to walk through a system personally built, including implementation choices, evaluation methods, system limitations, and the path from prototype to production.
  • The application and interview process is designed to be accessible, predictable, and fair, with reasonable adjustments available upon request.

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