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Forward Deployed Engineer, Agentic Platform

Tkxel
Riyadh, KSA
Full-time
Senior · 6+ years experience
Onsite
Discovered 1 weeks ago
PythonRAGReActPlan-and-ExecuteLarge Language Models (LLMs)vector databases
Free

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Key skills for this role

PythonRAGReAct
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Requirements

  • You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
  • You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
  • You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
  • You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
  • You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
  • You have experience owning the full scope of a use case end-to-end
  • You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting

It's a bonus if you have:

Experience setting architectural standards for AI and agentic systems across distributed teams

Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it

Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Experience with enterprise security, compliance, or auditability requirements for AI systems

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