Artificial Intelligence Engineer

Client of Discovered MENA

Job description
Location: Riyadh, Saudi Arabia (Relocation support is provided)
We are looking for an experienced engineer to transform cutting-edge AI models into practical, scalable systems. Rather than inventing new algorithms, you ll focus on applying existing large language models (LLMs) and AI tools to build full-stack applications, cloud-based solutions, and rapid prototypes. The right candidate enjoys fast-paced environments, excels at quickly turning ideas into working products, and has strong expertise with frameworks like LangChain and LangGraph to create efficient AI-driven workflows.

Key Responsibilities

Architect, develop, and deploy full-stack applications powered by LLMs for natural language processing, generation, and automation.

Work closely with cross-functional teams to rapidly prototype and iterate from concept to production-ready solutions.

Leverage LangChain and LangGraph to build stateful AI agents and multi-step workflows that solve real-world problems.

Design and manage cloud infrastructure (AWS, Azure, GCP) to support scalable AI applications, including APIs, pipelines, and deployment systems.

Participate in live coding sessions and sprint cycles to showcase and refine solutions in real time.

Optimize applications for performance, security, and reliability, ensuring smooth integration between AI and user-facing systems.

Debug and resolve issues across the stack from frontend UI to backend AI logic and cloud services.

Stay current with emerging AI frameworks, tools, and best practices to continuously enhance development processes.

Required Qualifications

Bachelor s or Master s in Computer Science, Engineering, AI, or related field (or equivalent experience).

10+ years of full-stack development experience with strong skills in frontend (React) and backend (PHP/Laravel, Node.js, Python, Django, Flask, FastAPI).

Familiarity with AI development platforms and coding tools such as Claude, OpenAI Cursor, or similar.

Proven expertise with LLMs (e.g., GPT, BERT), including fine-tuning, prompting, and application integration.

Hands-on experience using LangChain to orchestrate LLMs and LangGraph to design graph-based AI applications.

Deep knowledge of cloud platforms (AWS, Azure, GCP), including ML services like SageMaker or Vertex AI.

Demonstrated ability to prototype rapidly and participate in live coding sessions.

Solid grounding in software engineering principles, Git, CI/CD, and agile methodologies.

Strong problem-solving skills and the ability to deliver high-quality results under tight deadlines.

Preferred Skills

Experience with Hugging Face Transformers, TensorFlow, or PyTorch.

Knowledge of Docker and Kubernetes for containerized, scalable deployments.

Familiarity with data engineering tools (Apache Airflow, Spark).

DevOps expertise for automating infrastructure and deployment pipelines.

Excellent communication skills to explain complex technical concepts to diverse stakeholders.