Agentic AI Intern

About the role

DataRobot is seeking an AI Native Intern to join our engineering or product teams. This is a fully remote position for 6 months.

Responsibilities

• Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
• Use the DataRobot platform — including AutoML, GenAI tooling, and MLOps capabilities — to design, evaluate, and ship solutions
• Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
• Work autonomously on defined project deliverables while staying aligned with your mentor and team
• Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
• Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
• Document your work thoroughly so findings and solutions can be handed off and extended after the program

What you'll learn

• Agentic AI & Autonomous Systems Design and implementation of multi-agent systems and autonomous reasoning loops
• Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents
• Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation
• End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations
• How to automate the ML lifecycle from data ingestion through deployment and monitoring
• Business Acumen & Use Case Development
• How to identify and size AI opportunities within real engineering workflows
• How to communicate technical findings to both technical and non-technical stakeholders
• Communication & Collaboration
• Async-first collaboration using Slack, Confluence, and structured project updates
• Present technical work clearly to senior leaders at a live Intern Showcase

Program Structure

• Phase I — Month 1: Onboarding & Foundation
• Phase II — Months 2–3: Core Project Execution
• Phase III — Months 4–6: Synthesis & Showcase

Requirements

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
• Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
• Foundational understanding of machine learning concepts — supervised learning, model evaluation, feature engineering
• Deep passion for autonomous agents — you have experience building systems that "do" rather than just "chat"
• Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
• Able to work independently, manage ambiguity, and escalate blockers appropriately

Qualifications

• Nice to Have:
• Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
• Familiarity with the DataRobot platform or other MLOps/AutoML tools
• Experience with API development (FastAPI, Flask) or containerization (Docker)
• Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

Benefits

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements:

• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)
• and more!

Talent and dedication

We encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

Equal Employment Opportunity

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Artificial Intelligence in Hiring

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.