AI Automation Engineer – LLM & Agentic Workflows

Summary

A technically sharp AI automation engineer with three years specialising in LLM-powered agentic workflows and intelligent data pipelines. Early adopter of emerging agent frameworks such as LangChain and CrewAI, with practical deployment experience shipping multi-agent systems into production for media, legal tech and professional services clients. Particularly strong in Python-first automation architecture and prompt system design.

Experience areas

1. AI Automation Engineer

   2023 – Present
   • Designed and deployed a multi-agent research and summarisation system for a legal tech firm, reducing lawyer document review time by 68% across a 200-user rollout.
   • Built a production RAG pipeline over a 50,000-document internal knowledge base for a professional services firm, achieving a 91% user satisfaction score in post-launch surveys.
   • Delivered an AI-driven content production workflow using CrewAI agents that generates first-draft articles for a digital media company at 12× human speed with editor-approved quality.

2. ML & Automation Developer (Contract)

   2022 – 2023
   • Engineered an automated data extraction and enrichment pipeline processing 500K records daily for an adtech company, replacing a manual analyst process.
   • Built and iterated 3 GPT-4 powered prototypes from brief to demo within 2-week sprints, enabling a startup to win its seed funding pitch.

Skills

Certifications

• DeepLearning.AI LangChain for LLM Application Development
• Google Cloud Professional Machine Learning Engineer