Job Description
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<...