Design and implement conversational AI agents and enterprise-grade AI solutions
Develop and optimise RAG pipelines using vector databases and LLM orchestration frameworks
Build and maintain agentic AI architectures for autonomous workflows and decision support
Perform exploratory data analysis on large-scale operational datasets to identify trends and use cases
Reduce noise and improve data quality for downstream AI applications
Collaborate with Data Scientists and Data Engineers to integrate AI solutions into enterprise platforms
Work with stakeholders to define AI use cases and measurable business outcomes
Ensure scalability, security, governance, and performance of AI systems

Strong experience with Large Language Models (LLMs) and AI application development
Expertise in Python and AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
Experience building RAG pipelines and integrating vector databases
Knowledge of cloud platforms such as Azure, AWS, or GCP
Strong understanding of data engineering and MLOps principles
Experience with exploratory data analysis and data visualisation techniques
Ability to lead technical delivery and mentor junior engineers
Excellent stakeholder communication skills

Senior AI Engineer

Key skills