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انتهت صلاحية هذه الوظيفة في 11/08/2026. لم تعد تقبل الطلبات.

AI Software Engineer

Leyton CognitX · Casablanca et périphérie

Senior 🇬🇧 English
RAG pipelines OpenAI Anthropic gRPC GraphQL Docker Kubernetes GitHub Actions GitLab CI Terraform CI/CD TDD SOLID principles Clean Architecture design patterns microservices event-driven architectures resilient systems data structures algorithms

وصف الوظيفة

About the role

As an experienced AI Software Engineer at Leyton CognitX, you will join a multidisciplinary team of data scientists, DevOps engineers, and consultants to design, build, and deploy large‑scale AI solutions for internal and external clients. You will tackle open‑ended problems, make critical architectural decisions, and drive innovation across the organization.

Key responsibilities

  • Design and develop scalable features and platforms, including APIs, business logic, databases, and security layers.
  • Lead the implementation of advanced AI systems such as Retrieval‑Augmented Generation (RAG) pipelines, LLM agent fleets, and model fine‑tuning using OpenAI, Anthropic, and open‑source LLMs.
  • Champion clean code practices, SOLID principles, and design patterns while conducting thorough code reviews.
  • Define and execute testing strategies (TDD, unit, integration, e2e, stress tests) to ensure reliable deployments.
  • Deploy, monitor, and optimize models in cloud environments using robust CI/CD pipelines, Docker, Kubernetes, and Infrastructure‑as‑Code tools.
  • Act as a technical advisor for clients, translating business challenges into technical solutions and defending architectural choices.
  • Mentor junior developers and DataLab interns, fostering skill growth and knowledge sharing.

Required profile

  • Proven experience designing distributed, scalable, and resilient systems.
  • Strong command of system trade‑offs, data structures, and algorithmic optimization.
  • Deep understanding of clean architecture, microservices, and event‑driven designs.
  • Ability to communicate complex technical concepts to non‑technical stakeholders.

Required skills

  • RAG pipelines, LLM agents, OpenAI, Anthropic, open‑source LLM integration
  • REST, gRPC, GraphQL API design
  • Docker, Kubernetes (optional), Terraform, GitHub Actions, GitLab CI
  • CI/CD, TDD, unit/integration/e2e/stress testing
  • SOLID principles, Clean Architecture, design patterns
  • Microservices, event‑driven architectures, distributed systems
  • Data structures and algorithms

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Leyton CognitX

Casablanca et périphérie