We are looking for an Intern (AI Systems) to help design and build agent-based systems that can reason, use tools, evaluate outcomes, and improve through feedback. We are especially interested in M.A.Sc., M.Sc., and Ph.D. students in relevant technical fields. Candidates with astrong portfolio of projects are also encouraged to apply.
WHAT YOU MAY WORK ON
- Designing single-agent and multi-agent systems
- Building tool-use and function-calling workflows
- Designing feedback loops for agents to evaluate and improve their outputs
- Agent planning, memory, delegation, and coordination
- Building evaluation frameworks for agent performance
- Designing systems where agents interact with software, data , and other AI models
- Developing autonomous workflows with human review where appropriate
- Improving reliability, observability, and failure recovery in agent systems




- Exploring approaches to long-running and self-improving AI systems

WHAT WE'RE LOOKING FOR
- Designing agent architectures and workflows
- Working with multi-agent systems
- Designing feedback and evaluation loops
- Thinking about tool selection, planning, and task decomposition
- Building systems that can operate over multiple steps
- Evaluating where and why agents fail
- Reading current AI research and applying relevant ideas
- Building and testing ideas independently

WHO SHOULD APPLY
We care more about what you have built and how you think about AI systems than your title or degree. Graduatestudents are adecuado, but undergraduates and self-taught candidates with strong AI projects are also encouraged toapply.

📌 Intern (Ai Systems) (Bogotá)
🏢 CBTW
📍 Bogotá