AI Intern

**Role:** AI Enablement Intern **About Joveo** As the global leader in AI-powered, high-performance recruitment marketing, Joveo is transforming talent attraction and recruitment media buying for the world’s largest employers, staffing firms, RPOs, and media agencies. The Joveo platform enables businesses to attract, source, engage, and hire the best candidates on time and within budget. Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies for three years in a row. Powering millions of jobs every day, Joveo’s data-driven recruitment marketing platform uses advanced data science and machine learning to dynamically manage and optimize talent sourcing and applications across all online channels while providing real-time insights at every step of the job seeker journey, from click to hire. For more information about Joveo’s award-winning platform, visit www.joveo.com **About the role** We’re looking for an AI Intern to help design and implement practical AI workflows that automate business processes and improve analytics. You’ll evaluate AI tools, build prototypes, connect APIs, and create dashboards that deliver measurable impact across teams. This is a hands-on role for a curious problem solver who enjoys experimenting, documenting, and shipping working automations. **What you’ll do** * Map manual processes and design AI-enabled workflows to reduce time, cost, and errors. * Evaluate and compare AI tools and platforms (e.g., OpenAI/Azure OpenAI, Google Vertex AI, LangChain, Zapier/Make, RPA tools). * Build lightweight prototypes: data pipelines, API integrations, webhooks, and automation scripts (primarily in Python). * Develop analytics dashboards and reports (e.g., Power BI/Tableau/Looker) to track outcomes of automations. * Implement LLM use cases (prompting, basic RAG, embeddings) with attention to data quality and security guidelines. * Document experiments, build how-to guides, and share results with non-technical stakeholders. * Monitor performance, run A/B tests, and iterate to improve accuracy, latency, and cost. * Collaborate with business teams (Ops, Marketing, HR, Finance) to translate needs into solutions. **What you’ll learn** * End-to-end automation: from discovery to production and measurement. * Practical LLM integration patterns, prompt engineering, and evaluation. * Best practices for data governance, privacy, and model/tool selection. * Experiment design, rapid prototyping, and ROI measurement. **Minimum qualifications** * Currently pursuing a degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). * Comfortable with Python and basic SQL; familiarity with APIs and JSON. * Understanding of ML/AI fundamentals (classification vs. generation, evaluation, basic statistics). * Strong problem-solving, documentation, and communication skills. * Ability to work 20–40 hours/week for 10–12 weeks (flexible). **Nice to have** * Experience with Zapier/Make or RPA (UiPath/Automation Anywhere/Power Automate). * Familiarity with LLM frameworks (LangChain/LlamaIndex), vector databases (FAISS/Pinecone/Chroma). * Cloud basics (AWS/GCP/Azure), Docker, Git. * Analytics tools (Tableau/Power BI/Looker/Metabase) and data wrangling (Pandas). * Frontend for prototypes (Streamlit/Gradio) is a plus.