AI & Automation Engineer Intern

Responsibilities

• Support the execution of Malt’s internal AI roadmap for H2 2026; contribute to building Dust and n8n workflows integrating Salesforce, Zendesk, BigQuery, and Slack
• Build adoption dashboards to track agent usage and iterate on Knowledge Base segmentation to reduce hallucinations
• Contribute to designing and building evaluations for our internal AI agents (accuracy, hallucination rate, knowledge-base coverage)
• Implement reliability patterns on the automation platform and document architecture patterns with guidance from the team
• Support the AI Academy program to empower our AI Champions & Builders to drive transformation across departments: create training materials, workflow templates, and best-practice guides
• Co-facilitate buildathons and track AI Academy Builder program KPIs

Requirements

• University-level education ideally in Computer Science, Data, Product Management, or a related field (Bac+4/5 or equivalent)
• You like building things, not just talking about them: comfortable writing small scripts, wiring n8n/Make/Zapier workflows, and prompting LLMs
• You keep up with AI developments (LLMs, agents, RAG, evals) and have hands-on experience with at least one framework: OpenAI API, LangChain, Dust, Mistral, or similar
• Comfortable with SQL and working with data; you measure the impact of what you deliver and understand that a KPI without a baseline is just a number
• Professional working proficiency in English

ATS Optimization Keywords

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility.

Hard Skills

• SQL
• n8n
• Make
• Zapier
• OpenAI API
• LangChain
• Dust
• Mistral
• AI evaluation
• data measurement

Soft Skills

• communication
• collaboration
• training development
• facilitation
• problem-solving
• adaptability
• creativity
• organizational skills
• leadership
• critical thinking