Senior AI Backend Engineer - Agent Evaluation & Quality

3 weeks, 1 day ago
Full-time
Senior
Software Development
Salla E-Commerce Platform

Salla E-Commerce Platform

Salla E-Commerce Platform (salla.sa) offers smart and easy e-commerce solutions for merchants, enabling direct selling to customers with ease.

Internet Software & Services
251-1K
Founded 2016
$8M raised

Description

  • Own the evaluation stack by designing and building LLM-as-judge systems, calibrating them against human labels, and making agent quality measurable by agent and failure mode.
  • Build per-PR evaluation harnesses and regression detection integrated into CI to enforce release quality automatically.
  • Develop user simulators to create test coverage and adversarial scenarios before they reach real users.
  • Feed production failures back into evaluation sets so the system improves over time.
  • Partner with product teams to turn definitions of success into concrete, measurable criteria.
  • Contribute to agent development and hardening, especially the components you understand best through evaluation.

Requirements

  • Strong software engineering fundamentals with production experience in Python, TypeScript, or similar languages.
  • Experience designing clean APIs and systems, with testing and CI/CD practices.
  • Hands-on experience building with LLMs and agents, including RAG, tool/function calling, or orchestration frameworks such as LangGraph or LangChain.
  • Ability to understand how LLM/agent systems behave and fail in practice.
  • Measurement mindset with experience reasoning about metrics, calibration, and experiments.
  • Production experience operating LLM systems with awareness of reliability, latency, cost, and observability.
  • 5+ years of software engineering experience with recent hands-on LLM/agent work.
  • Direct experience evaluating LLM/agent systems, including offline/online evals, LLM-as-judge, or systematic regression testing (preferred).
  • Experience with observability tools such as Arize or LangSmith (preferred).
  • Arabic language or NLP experience (preferred).
  • E-commerce or merchant-facing product experience (preferred).

Interested in this position?

Apply directly on the company website

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