AI Automation Intern - Knowledge Graph

About the role

RavenPack develops generative AI tools for the finance industry and is launching a new suite of GenAI and SaaS services. As an AI Automation Intern, you will own one or more automation projects from prototype to working tool, with the support of a dedicated technical mentor.

Key responsibilities

• Design and build the agent, choosing the sources, tools and prompting strategies that give the most reliable results.
• Evaluate the agent by running it against an evaluation set prepared with the team, tracking accuracy and iterating to improve it.
• Produce clear, reviewable output so the team can quickly approve, reject or adjust each proposed change.
• Document your work so the team can continue running and extending it after your internship.

Required profile

• A builder's mindset: self-motivated, takes ownership and prefers shipping a working prototype to writing a long plan.
• Hands-on experience with agentic workflows, actively building with LLMs, agents and tool use, whether through frameworks, the Model Context Protocol (MCP) or custom orchestration code.
• Uses LLMs and AI coding tools daily and understands their strengths and failure modes.
• Cares about data quality, thinking naturally about validation and edge cases.
• Can explain what was built, why and how well it works, in English.

Nice to have

• Experience with knowledge graphs, entity resolution or record linkage.
• Familiarity with web research automation, scraping or retrieval-augmented generation (RAG).
• Interest in financial markets or company data.