Senior Generative AI Engineer

About the role

InnovationTeam, a technology company delivering AI-driven solutions to enterprises and government organizations, is looking for a Senior Generative AI Engineer to join its AI team in Riyadh. The engineer designs, develops and deploys large-scale generative AI solutions, works with cross-functional teams to turn business and technical requirements into production-ready AI systems, and owns AI solutions end to end.

Key responsibilities

• Design, develop and optimize Generative AI solutions (LLMs, RAG systems, AI agents).
• Fine-tune, evaluate and deploy large language models for enterprise use cases.
• Build and maintain end-to-end AI pipelines, from data ingestion to inference.
• Implement RAG using vector databases and knowledge stores.
• Integrate GenAI solutions with existing systems via APIs and microservices.
• Optimize model performance, latency and cost on cloud platforms (OCI, AWS, Azure or GCP).
• Collaborate with product, data and engineering teams to deliver AI solutions.
• Ensure solutions follow best practices in security, governance and responsible AI.

Required profile

• Minimum 5 years of professional experience in AI / machine learning.
• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field.
• Excellent command of English, written and spoken.

Required skills

• Proficiency in Python, Java and Ruby.
• Strong experience with LLMs (GPT, LLaMA, Mistral, etc.) and hands-on Python with PyTorch and TensorFlow.
• Understanding of NLP, deep learning and transformer architectures.
• RAG architectures and vector databases (FAISS, OpenSearch, Pinecone, etc.).
• Software engineering: APIs, REST, microservices, Docker, Kubernetes.
• Deploying AI workloads on cloud platforms (OCI preferred).
• Nice to have: GPU training and inference, MLOps / LLMOps, regulated or enterprise environments, AI governance and compliance knowledge.

What we offer

• Opportunity to work on cutting-edge Generative AI projects.
• Competitive compensation package.
• Access to modern AI infrastructure and cloud resources.
• Professional growth and learning opportunities.