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Location
Hybrid (Alexandria, Egypt)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Sana Commerce is a Dutch software company founded in 2007 and headquartered in Rotterdam. Its business-to-business commerce platform integrates directly with Microsoft Dynamics and SAP enterprise systems. The company serves manufacturers and distributors in dozens of countries.

At Sana Commerce, we're committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths.

B2B commerce is evolving fast and Sana Commerce is built to lead it. We help manufacturers, distributors, and wholesalers create seamless digital buying experiences that strengthen customer relationships and drive real business growth.

We're on a mission to become the go-to commerce platform for B2B companies navigating complexity at scale. That means constantly pushing the boundaries of what's possible in ERP-integrated commerce and building a team bold enough to get us there.

At Sana Commerce, we’re looking for an AI Engineer who can help us build a high performance, scalable e-commerce platform.

You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.

Who we are:

  • Champions of Our League."We deliver lasting success, balancing quick wins and long-term value."

    We take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role, we bring value every day, helping our customers and partners succeed.

  • Supercharge Our Customers."We’re revolutionizing B2B commerce together, helping our customers to lead and succeed."

    Our customers are at the heart of everything we do. We go beyond solutions, providing the tools and support they need to grow.

  • Determined to Grow."We embrace challenges, growing and raising the bar for ourselves and our industry."

    We take on challenges, seek feedback, and keep learning. Every setback is a chance to improve and move forward.

  • Bold Together."We dare to be bold because we have each other’s back."

    We collaborate across teams and time zones, challenge the status quo, and support each other to achieve the best outcomes.

What 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 them
  • Work in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed product
  • Apply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvement
  • Build the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test does
  • Design for failure by building the recovery path before the happy path
  • Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines
  • Stay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce

What you bring

  • Proven commercial experience building and deploying production-grade AI applications.
  • 4+ years of web application engineering experience
  • Strong software engineering (back-end, front-end nice to have) and SDLC fundamentals (design patterns, SOLID principles, experience with building complex MACH systems, CI/CD, testing)
  • Apply strong backend and system design principles to ensure deterministic behaviour where needed, clear failure handling, human-in-the-loop controls, and production readiness.
  • Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations
  • Hands-on experience with RAG pipelines, agents, and Vector Stores and the judgement to know when retrieval is the wrong tool
  • Familiarity with LLMOps practices, monitoring, evaluation, and feedback loops.
  • Has built real evals that are tied to business impact- dataset, metrics, thresholds and can name the regression they caught
  • Cost and latency literacy - can say what a run costs and how to halve it
  • Strong working knowledge of Cloud technologies

Ready to build reliability that scales?

Apply now and help shape the foundation of our next-generation SaaS platform.

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