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AI Software Engineer

Sana Commerce — Egypt · Posted ~1 hour ago

Mid

Skills

AI engineering LLMs RAG AI agents Agentic workflows AI evaluation AI observability LLMOps Software engineering Distributed systems AI Agents LangChain LangGraph AWS Bedrock Microsoft Foundry Cloudflare Agents

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Summary ✨ AI‑Generated

Design and deliver production-grade AI capabilities that operate on real business data. You will build RAG systems, AI agents, and dynamic workflows with modern LLM tooling, establish evaluation and feedback loops, design robust recovery paths, and improve reliability through LLMOps and AI observability.

Highlights

Build production-grade AI features using modern LLM frameworks, RAG, agents, dynamic workflows, evaluation systems, and observability, with end-to-end ownership from design through continuous improvement.

Description

Job DescriptionWhat you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce – agents that act on real commerce data (catalog, pricing, inventory, orders)Work with modern LLM frameworks and toolchains (e.g. any of Lang*, AWS Bedrock, MS Foundry, Cloudfare Agents, etc…)[VL1.1] to build RAG systems, AI Agents, and dynamic workflows – while understanding the raw agentic loop underneath themWork in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed productApply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvementBuild the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test doesDesign for failure by building the recovery path before the happy pathContribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelinesStay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce