The board
- Hours
- Full time
- Where
- Boston, Massachusetts, US
- Posted
- 3 days ago
Job Description:
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.
What you'd do
- 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.
- You have built or used an MCP server or client, even a small one.
- You have played with agent frameworks or tool calling.
- Starts
- 2026-10-01