AI Systems Intern: Multi-Agent Design & Tooling

Birdseye Solutions Inc; Dallas (TX); On-site; USD 20,000 - 36,000; Part time

Job summary

Birdseye Solutions Inc. is seeking an Intern (AI Systems) to help design and build agent-based systems capable of reasoning, tool use, and feedback-driven improvement.

We welcome MA/MSc/PhD students and candidates with strong AI portfolios to apply, including those finishing degree programs. The role emphasizes practical work on agent architectures and autonomous workflows, with potential background checks as part of the process.

Qualifications

• Understand modern AI systems and agent design.
• Experience with designing agent architectures and workflows.
• Ability to work independently and read current AI research.
• Strong portfolio of AI projects.

Responsibilities

• 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

Skills

Agent design

Multi-agent systems

Feedback loops

Tool integration

Workflow design

Planning

Task decomposition

Evaluation

Software interaction

Independent work

Reading AI research

Education

Graduate-level study (M.A.Sc./M.Sc./Ph.D.)

Job description

Birdseye Solutions Inc. is seeking an Intern (AI Systems) to help design and build agent-based systems capable of reasoning, tool use, and feedback-driven improvement.

We welcome MA/MSc/PhD students and candidates with strong AI portfolios to apply, including those finishing degree programs. The role emphasizes practical work on agent architectures and autonomous workflows, with potential background checks as part of the process.