Senior AI Engineer - AI Agent Systems

About the role

This role focuses on building intelligent agent systems and predictive ML solutions that power real-world enterprise workflows — going well beyond chatbot or RAG-style application development. The ideal candidate will design AI architectures that combine LLM-based reasoning with classical ML techniques, operating reliably in production environments with constraints around latency, cost, data quality, and enterprise system integration.

What you'll do

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking
• Build and deploy supervised and unsupervised ML models for prediction, classification, anomaly detection, and pattern recognition tasks in production environments
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimised retrieval strategies
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies

What you need

• Machine learning
• Scikit-learn
• Python
• Prompt engineering
• PyTorch
• Databricks

Good to have

• GCP
• MLOps
• ERP
• System design
• LLMs
• IoT