Intern, AI Systems

Birdeye

. Design single-agent and multi-agent systems .

Posted 9/29/2026internshipDallas • Texas • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and evaluating single-agent and multi-agent systems, with a strong focus on building reliable workflows and feedback loops. Proficient in applying modern AI research to develop autonomous systems that improve over time.

Highest-signal resume keywords

Agent DesignMulti-Agent SystemsFeedback Loop DesignAI System EvaluationTool Selection

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Agent ArchitectureWorkflow DesignTask DecompositionSystem ReliabilityObservabilityFailure RecoveryAutonomous Workflow DevelopmentAI Research ApplicationPerformance Evaluation FrameworksComponent Integration

Soft Skills

Independent TestingCritical ThinkingCollaboration

Industry Keywords

AI SystemsAgent PlanningMemory ManagementDelegationCoordination

About the role

Key responsibilities & impact

Design single-agent and multi-agent systems
Build tool-use and function-calling workflows
Design feedback loops for agents to evaluate and improve outputs
Work on agent planning, memory, delegation, and coordination
Build evaluation frameworks for agent performance
Design systems where agents interact with software, data, and other AI models
Develop autonomous workflows with human review where appropriate
Improve reliability, observability, and failure recovery in agent systems
Explore approaches to long-running and self-improving AI systems

Requirements

What you’ll need

Understanding of modern AI systems and agent design
Comfortable thinking about how multiple components work together
Experience/design knowledge of agent architectures and workflows
Experience/design knowledge of multi-agent systems
Experience designing feedback and evaluation loops
Understanding of tool selection, planning, and task decomposition
Ability to build systems that operate over multiple steps
Ability to evaluate where and why agents fail
Ability to read current AI research and apply relevant ideas
Ability to build and test ideas independently
Strong portfolio of AI projects encouraged
Resume/CV, portfolio or GitHub, and 1–3 notable projects or research efforts required for application
Candidate must complete background checks, including references, educational verification, criminal check, and credit check where applicable
Certain roles may require testing