Company Overview

Yakeey is a fast‑growing PropTech company headquartered in Casablanca, Morocco.  Our mission is to simplify and accelerate real‑estate transactions by connecting buyers, sellers, renters and agents through a single digital platform.  We offer a multi‑product portfolio, including a property marketplace, a credit application and processing platform and a valuation tool.  We are rapidly expanding our use of AI—chatbots, voice assistants, document automation and intelligent lead qualification—to enhance every touchpoint in our customer journey.

Role Summary

As Senior Machine Learning Engineer, you will be responsible for designing and coordinating the suite of AI tools and services that power Yakeey’s multi‑channel intelligent agents.  Supported by dedicated engineering and devOps teams, you will focus on orchestrating large language models, voice AI and document‑understanding tools across messaging channels (WhatsApp, web chat, voice) and internal advisor interfaces.  Your mission is to ensure these models are correctly integrated, orchestrated and tuned to meet business use cases (automated document verification, customer‑support chatbots, request summarisation, contract generation and lead qualification, lead qualification, catalog discovery, property publication, … ). while adhering to quality and compliance standards.

Key Responsibilities

• Develop and orchestrate AI services by selecting, configuring and integrating conversational AI tools (chatbots, voice assistants, LLM APIs) to handle a variety of customer and agent interactions.

• Collaborate with engineering and ops teams to embed AI services into our micro‑services ecosystem; focus on tool orchestration while infrastructure deployment and maintenance are handled by the supporting teams.

• Work closely with product and business stakeholders to translate functional requirements into AI‑driven solutions and iterate quickly based on feedback.

• Ensure model quality and compliance by conducting evaluations, implementing monitoring and feedback loops.

• Document and share best practices, contributing to internal guidelines for AI development and mentoring junior team members.

• Curiosity for next‑generation AI technologies – Demonstrated interest in or experience with intelligent agents, large language models (LLMs), Model Context Protocol (MCP) and retrieval‑augmented generation (RAG) architectures.  A “geek” mindset that enjoys exploring and experimenting with emerging AI tools and applying them in practical scenarios.

• Solid experience in machine learning engineering, LLM and applied AI.

• Demonstrated experience orchestrating large language models and other AI services (e.g. chatbots, speech recognition) within a product environment.

• Proficiency in Python and familiarity with Langchain or equivalent tooling.

• Excellent communication skills and ability to work cross‑functionally with product, engineering, operations and business teams.

• Experience in fintech, proptech or other regulated domains is an advantage; proficiency in French or Arabic is a plus.

The recruitment process at Yakeey:

• A first conversation with the HR team to get to know you better and introduce you to our project

• A test or a practical case study related to the position

• A role-specific interview with your future manager

• A final meeting with top management (if needed)

If everything is approved: we send you an offer, and off we go!

🎉 On your first day, the HR team will welcome you and immerse you in the Yakeey universe: our mission, our challenges, and our tools. Then you’ll join your team for a tailored onboarding experience.

Why Join Yakeey?

At Yakeey, you will have the opportunity to shape the next generation of AI‑powered services that make real‑estate transactions easier and more transparent.  You’ll work with a modern tech stack and collaborate with experienced engineering and ops teams, allowing you to focus on orchestrating state‑of‑the‑art AI tools.  If you are passionate about applied machine learning and enjoy turning complex AI technologies into impactful products, we’d love to hear from you.