Soum

Soum

Soum is a fast-growing recommerce marketplace redefining buying and selling of used electronic devices in MENA with trust, security, and money-back guarantee.

Household Durables
11-50

Description

  • Design, develop, and deploy scalable GenAI-powered business workflows.
  • Integrate GenAI tools and AI solutions with existing systems through APIs such as Freshdesk, Google Workspace, and Airtable.
  • Evaluate emerging GenAI technologies and pilot innovative solutions for the marketplace.
  • Architect solutions that support high-volume concurrent interactions with low latency and reliable performance.
  • Collaborate with Product, Data, Engineering, and Customer Support teams to identify automation opportunities and deliver user-centric solutions.
  • Share best practices and contribute to technical knowledge-sharing to promote AI adoption across teams.
  • Bridge custom-built AI platforms with off-the-shelf GenAI tools to improve accessibility and adoption.
  • Work on intelligent, context-aware AI agents integrated into Soum’s ecosystem.

Requirements

  • Bachelor’s degree, preferably in Computer Science, Engineering, or a related technical field.
  • Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts.
  • Hands-on experience with GenAI tools such as Gemini, ChatGPT, and Claude Enterprise.
  • Strong understanding of SaaS ecosystems and API integrations, including Google Workspace, Airtable, and Freshdesk.
  • Expertise in NLP/NLU, conversational AI frameworks, and large language models.
  • Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping.
  • Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures.
  • Experience working on a C2C platform and understanding marketplace dynamics, customer support challenges, and user engagement.
  • Experience implementing conversational flows, dialogue management, and context tracking in AI agents.
  • Familiarity with retrieval-augmented generation (RAG) architectures.
  • Understanding of data privacy, security, and ethical considerations in AI deployments.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Interested in this position?

Apply directly on the company website

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