Pioneering Intelligence: Agentic AI Co-Op

Flagship Pioneering•Cambridge, MA

About The Position

Flagship Pioneering is a biotechnology company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble capital to allow them to take courageous leaps. Those big leaps in human health and sustainability exponentially accelerate scientific progress in areas ranging from cancer detection and treatment to nature-positive agriculture. What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and transform for the benefit of people and planet. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. 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.

Requirements

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 Haves

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.

Responsibilities

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.