AI Engineer — End-to-End Agentic Systems in Python

git-me

United Arab Emirates

Remote

AED 260,000 - 380,000

Full time

14 days+
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Job summary

git-me in the United Arab Emirates is seeking an experienced AI engineer to build production agent components in Python. You will own end-to-end development, evaluation, deployment, and live support for agent-based solutions within an architecture defined by the Lead AI Engineer.

You will ship production-ready capabilities, measure quality, and stay healthy over time, joining an on-call rotation and collaborating with client stakeholders across English and Arabic contexts.

Qualifications

  • Experience building multi-step, tool-using agents.
  • Strong solution-architecture awareness and design improvement mindset.
  • Hands-on LLM experience: prompting, tool schemas, structured outputs, function calling.
  • Evals habit: measure changes rather than intuition.
  • Comfort with APIs, asynchronous programming, queues, and SQL.
  • Familiar with Docker and CI/CD pipelines.
  • Self-directed, accountable and honest about knowledge gaps.

Responsibilities

  • Build agent components in production Python: tools, orchestration steps, guardrails.
  • Write and maintain evals for the surfaces you own.
  • Implement retrieval and context pipelines.
  • Integrate agents with client systems: APIs, queues, databases.
  • Instrument latency, cost, and tool-call success.
  • Take your own work to production and join on-call rotation.
  • Communicate clearly with engineers and non-engineers; ensure reliability.

Skills

LLM prompting
Agent design
System architecture
Asynchronous programming
SQL
APIs
Docker
CI/CD
Communication
English/Arabic

Tools

Docker
CI/CD
Kubernetes

Job description

git-me in the United Arab Emirates is seeking an experienced AI engineer to build production agent components in Python. You will own end-to-end development, evaluation, deployment, and live support for agent-based solutions within an architecture defined by the Lead AI Engineer.

You will ship production-ready capabilities, measure quality, and stay healthy over time, joining an on-call rotation and collaborating with client stakeholders across English and Arabic contexts.

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