​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.

Apply Now!