MCP & Memory Intern

DataRobot, Inc.; Boston (MA); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Competitive pay and benefits

Hands-on project experience

Mentorship & learning

Job summary

DataRobot, Inc. is offering an hands-on internship focused on AI agents, MCP, and memory. You will write code, test ideas, and ship improvements in a fast‑moving environment while learning from mentors. You’ll connect agents to tools, manage context, and ensure safety in tool calls, memory, and sessions.

This role emphasizes curiosity, proactive problem solving, and clear communication to unblock teammates and progress quickly in real tasks.

Qualifications

• Proactive about learning and building hands‑on AI agent tools.
• Familiarity with prompts, tool calls, and context windows.
• Ability to communicate progress, blockers, and ideas clearly.

Responsibilities

• Build and improve MCP servers and clients: tool definitions, inputs/outputs, error handling, examples.
• Experiment with agent memory: what gets saved, retrieved, and how it affects task quality.
• Wire tools and memory into an agent loop and monitor confusion, latency, or errors.
• Make small, clear changes to unblock teammates: docs, tests, and friction removal.
• Turn rough ideas into working demos and iterate based on results.
• Pair with experts, then take ownership of the next slice.

Skills

Python

AI agents

Prompts & context

Memory concepts

Communication

Problem solving

Readable code

Tools

MCP server/client

Agent frameworks

Memory management

Job description

Summary

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. This effort is about making AI agents more useful in real work: giving them the right tools, the right context, and a memory that holds up across a conversation and across sessions. The focus is Model Context Protocol (MCP) and agent memory, how an agent discovers tools, calls them safely, keeps track of what it has learned, and stays helpful without someone watching every step. The goal is practical value for people using agents day to day, with clean implementations that others can build on. Summary: This is a hands‑on internship for someone curious about AI agents who wants to learn by building. You do not need to already be an expert. What matters is that you like figuring things out, you move without waiting to be told every next step, and you care about unblocking the people around you. Most of the work sits on MCP and memory: connecting agents to tools, shaping how context is passed in, and designing how an agent remembers what is useful and forgets what is not. You will write code, try ideas, see what breaks, and ship improvements in a fast‑moving environment. A good attitude and the willingness to learn matter more than a perfect resume.

Required Skills

• Comfort writing and reading Python, and a willingness to get better at it quickly.
• Curiosity about how AI agents work: tools, prompts, context windows, and why an agent succeeds or fails on a real task.
• Interest in MCP - how servers expose tools, how clients call them, and how that contract stays simple and reliable.
• Interest in memory for agents: what to store, what to retrieve, and how that changes what the agent can do next.
• Ability to take a vague problem, try a small version, and show what you learned.
• Clear communication: you say when you are stuck, you share what you tried, and you help other people move faster.
• Good engineering habits you are willing to practice: readable code, small tests, and notes so the next person is not lost. You take feedback on board. When someone points out a better approach, a mistake, or a simpler path, use it and adjust.

Strong Plus

• You have built or used an MCP server or client, even a small one.
• You have played with agent frameworks or tool calling.
• You have thought about memory, caching, or conversation state in any product, not only in AI.
• You enjoy fast environments and would rather try something today than wait for a perfect plan.
• You like helping teammates get unblocked, even when the task is not yours.

What You Can Expect To Work On

• Building and improving MCP servers and clients: tool definitions, inputs and outputs, error handling, and examples other people can run.
• Experimenting with agent memory: what gets saved, how it is retrieved, and how that changes task quality.
• Wiring tools and memory into an agent loop and watching where it gets confused, slow, or wrong.
• Making small, clear changes that unblock teammates - docs, fixtures, smoke tests, and fixes that remove friction.
• Turning a rough idea into something that runs, then tightening it based on what you see.
• Pairing with people who know the system well, then owning the next slice yourself.

What You Should Expect

Work close to how agents actually get used, with MCP and memory at the center. A fast pace: short loops, quick feedback, and room to try things without a long approval chain. Trust to drive your own tasks once the goal is clear. You will not be micro‑managed. A team that likes curiosity, a steady attitude, and people who make others faster. Room to learn in public: questions are welcome, and “I don’t know yet” is a fine starting point if you go find out. A role for someone who wants to grow into agentic systems by shipping, not by waiting until they feel fully ready.

We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core.

Benefits

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

DataRobot Operating Principles

• Wow
• Our Customers Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate
• 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%.

Diversity & Inclusion

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.

DataRobot is proud to be an Equal Employment Opportunity and Aff<!-- The content truncated in the original; assume entire paragraph is present -->

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Scams Alert

DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond.