PHYGTL

Agentic Systems Engineer Intern, Summer 2026

PHYGTL

internship

Posted on:

Location Type: Remote

Location: California • United States

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Job Level

Entry Level

About the role

  • Designing context-aware quest logic (physical + social + temporal signals)
  • Detecting stall or drop-off conditions during coordination
  • Suggesting structured micro-actions that increase completion probability
  • Instrumenting evaluation loops tied to measurable behavioral outcomes
  • Shipping production-facing components
  • You will operate on top of existing real-time systems — not rebuild infrastructure.

Requirements

  • A strong computer science or engineering student
  • Someone who has shipped real systems (GitHub required)
  • Comfortable reasoning about state transitions and edge cases
  • Curious about AI systems beyond simple prompt usage
  • Able to move from idea → working prototype quickly
  • Design a simple state-aware workflow
  • Think through failure modes
  • Explain tradeoffs (latency, cost, reliability)
  • Tie technical decisions to measurable outcomes
  • Bonus if you’ve built:
  • Agentic workflows
  • Multiplayer or event-driven systems
  • Evaluation pipelines for AI systems
  • Side projects used by real users
Benefits
  • Competitive compensation
  • Flexible remote structure
  • High ownership, small team
Applicant Tracking System Keywords

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

Hard Skills & Tools
quest logic designstate transitionsedge case reasoningAI systemsprototypingworkflow designfailure mode analysisevaluation pipelinesmultiplayer systemsevent-driven systems
Soft Skills
curiosityproblem-solvingcommunicationdecision-makingtradeoff analysis