Role Summary

We are looking for an AI Engineer to design, prototype, and operationalise AI/ML solutions — including classical ML models and modern Generative AI patterns (RAG, agents, fine-tuning). The role bridges research, engineering, and production deployment.

Key Responsibilities

• Build end-to-end ML pipelines: feature engineering, training, evaluation, deployment, monitoring.
• Design and implement GenAI applications (RAG, agentic workflows, structured-output prompting).
• Operationalise models (containers, serving frameworks, A/B testing, drift monitoring).
• Evaluate and benchmark LLMs, embeddings, and vector stores.
• Apply responsible-AI practices (eval frameworks, content safety, PII handling).
• Collaborate with data engineers, product, and security teams.
• Document experiments and decisions with reproducibility in mind.

Required Qualifications

• Bachelor's/Master's in CS...