Pioneering Intelligence: Agentic AI Co-Op

United Kingdom·Cambridgemid

OtherAgentic Ai

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Quick Summary

Overview

This position is open exclusively to current Northeastern University Co-Op students.Work Period: January 2027 to June 2027. This is a full - time, 40 hours per week position with 5 days in office.

Technical Tools

OtherAgentic Ai

What We Offer

~4 min read

Welcome to Flagship Pioneering Co-Op Program for the cohort dreaming big and taking courageous leaps. You'll join fellow peers across our ecosystem of companies and learning firsthand how we build first-in-category companies. You’ll have access to enrichment sessions, a dedicated professional development track, and a mentor that help guide you toward your next step. By the end, you will carry on a meaningful project outcome, a genuine network, and a front-row view of how Flagship pioneer new ventures that change the world.

About the team

The Agentic AI team builds autonomous agents that plan, build and iterate long-running research and engineering tasks with limited supervision. We work on agent design, orchestration, durable execution across tools and data sources, and practical evaluation.

✓Build alongside founders. You’ll work inside the same hypothesis-driven process Flagship uses to conceive and launch first-in-category companies.

✓This can be the start of a longer story. Strong co-ops are considered for future opportunities across Flagship and its portfolio companies, not just for this one role.

✓Work alongside people who left the safe path. Your colleagues are scientists, engineers, and operators who chose to build something new rather than join something already established.

✓Take on real ownership. You're contributing to ventures that are still being defined. Your work can shape real decisions, not just support them.

✓Be paid like the contributor you are. Compensation reflects the real work you take on.

Build and improve agents that use APIs, tools and large datasets.
Rethink traditional research and software-development workflows using an agentic SDLC.
Design evaluations for accuracy, reliability and cost online and offline.
Design and run evaluations that measure accuracy, reliability, and cost on public and proprietary datasets.
Prototype new capabilities and turn successful experiments into production components.
Investigate agent failures, identify their causes, and develop fixes.
Ship features regularly with the team and contribute to team reviews owning increasing context as the Co-Op's project expands.

The work will be a mixture of research and engineering. The exact balance may change week to week.

Enrollment in a master's degree program in computer science, machine learning, or a related field.
Strong Python skills and experience reading and writing production-quality code.
Hands-on experience developing agents through coursework, personal projects, research, or prior work.
The ability to break down complex systems, reason from first principles, and develop practical solutions.
Clear technical communication skills.

Nice to Have

~1 min read

Experience building agents, agent runtime systems, or MCP tools.
Familiarity with evaluation frameworks or experiment-tracking tools.
Previous internship or co-op experience shipping software.

You'll own agent features from prototype through production, work closely with experienced researchers and engineers, and learn how a research-driven team builds and evaluates agentic systems.