Position Details: Senior AI Engineer

Description:

Position Senior AI Engineer

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Minimum of 7 years of professional experience in AI/ML engineering, with at least 2 years on production LLM or GenAI systems
• Expert-level Python; strong software engineering fundamentals and API design
• Deep experience with LLM frameworks (LangChain, LlamaIndex, or Semantic Kernel) and RAG architectures
• Hands-on experience with vector databases (Pinecone, Weaviate, Milvus, or pgvector) and embedding models
• Proven experience designing agentic AI workflows with tool calling, planning, and evaluation loops
• Strong classical ML expertise: scikit-learn, XGBoost, PyTorch or TensorFlow, feature engineering, model evaluation
• Experience fine-tuning transformer models (LoRA, QLoRA, instruction tuning) and evaluating multilingual LLMs/SLMs
• MLOps: model serving, monitoring, drift detection, CI/CD for ML (MLflow, Kubeflow, SageMaker, or equivalent)
• Responsible AI: bias/fairness auditing, explainability techniques, PII handling, and guardrail frameworks (Guardrails AI, NeMo Guardrails)
• Experience leading and mentoring AI/ML engineering teams

Preferred Qualifications

• Experience delivering AI in banking, fintech, or other regulated industries
• Working knowledge of Arabic Natural Language Processing (NLP) and South-Asian language models
• Familiarity with on-premise, private-cloud, or sovereign-cloud deployment of AI workloads
• Experience with feature stores (Feast, Tecton) and real-time scoring infrastructure
• Understanding of financial-services data protection regulations (e.g., PDPA, GDPR, or equivalent)
• Contributions to open-source AI projects or published research

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