Phygtl, Inc.

At Phygtl, we are solving the problem for Students suffering from social isolation, a challenge that affects over 60% of today's students, contributing significantly to rising depression and anxiety rates. We develop technology that reduces isolation by up to 40%, by providing a novel way to foster community on campus while bridging connections between physical and digital environments. Our team includes PhDs from institutions such as Stanford, UC Berkeley, MIT, and Carnegie Mellon, alongside professionals from companies like Niantic, Meta, Magic Leap, Riot Games, Ubisoft, and Zynga. Led by a Silicon Valley-based serial entrepreneur, our startup is united by a commitment to rescue next-gen from Social Atrophy.

Agentic Systems Engineer Intern

Software EngineerSoftware EngineerFull TimeRemote

Location

United States

Posted

12 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

You’ll join the team building Vyry, a mobile app that helps students meet in real life through short, coordinated campus quests. Right now, our focus is Quest Participation optimization: keeping peers on the quest screen while they coordinate via chat, voice, and AR Meet, without state glitches, drop-offs, or broken realtime behavior.

This role is not about “building chatbots.” It’s about shipping realtime intelligence inside a live social product, where state correctness, latency, and user trust matter.

What You’ll Work On

  • 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.

Qualifications

  • 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

Requirements

  • 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

How We Evaluate

  • Systems clarity (state + failure thinking)
  • Execution speed
  • Ownership
  • Depth over pedigree

Benefits

  • Work on a Real Behavioral Problem. You won’t optimize clicks. You’ll design systems that influence real-world human coordination and identity formation.
  • This is AI applied to physical behavior — not interface optimization.
  • Ship Systems That Matter. Your work will tie directly to:
    • IRL Quest Completion Rate
    • D30 Retention
  • Learn From Operators Who’ve Built at Scale. You’ll work with the founding team, engineers and researchers from:
    • Founder DNA
    • Roblox (LLM + search systems)
    • Niantic (AR + real-world coordination)
    • Stanford / Berkeley / MIT / CMU
  • Operate in a High-Bar, Low-Bureaucracy Environment. We value:
    • Meritocracy over pedigree
    • Shipped systems over slide decks
    • Clear thinking over buzzwords
  • Build a Rare Skill Set. You’ll gain experience at the intersection of:
    • Agentic AI systems
    • Real-time coordination
    • Behavioral metrics
    • Spatial computing

Compensation & Structure

  • Competitive compensation
  • Flexible remote structure
  • FT 3 months or PT 6 months
  • High ownership, small team

Apply

  • CV
  • GitHub
  • A concise architecture walkthrough of one system you built
  • One failure you debugged (what broke, why, what changed)
  • A short note (≤300 words) on how you’d increase IRL Quest Completion by 15%

We review for depth, not buzzwords.

Job 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
  • How We Evaluate
  • Systems clarity (state + failure thinking)
  • Execution speed
  • Ownership
  • Depth over pedigree

Benefits

  • Work on a Real Behavioral Problem. You won’t optimize clicks. You’ll design systems that influence real-world human coordination and identity formation.
  • This is AI applied to physical behavior — not interface optimization.
  • Ship Systems That Matter. Your work will tie directly to: IRL Quest Completion Rate
  • D30 Retention
  • Learn From Operators Who’ve Built at Scale. You’ll work with the founding team, engineers and researchers from: Founder DNA
  • Roblox (LLM + search systems)
  • Niantic (AR + real-world coordination)
  • Stanford / Berkeley / MIT / CMU
  • Operate in a High-Bar, Low-Bureaucracy Environment. We value: Meritocracy over pedigree
  • Shipped systems over slide decks
  • Clear thinking over buzzwords
  • Build a Rare Skill Set. You’ll gain experience at the intersection of: Agentic AI systems
  • Real-time coordination
  • Behavioral metrics
  • Spatial computing
  • Compensation & Structure
  • Competitive compensation
  • Flexible remote structure
  • FT 3 months or PT 6 months
  • High ownership, small team
  • Apply
  • CV
  • GitHub
  • A concise architecture walkthrough of one system you built
  • One failure you debugged (what broke, why, what changed)
  • A short note (≤300 words) on how you’d increase IRL Quest Completion by 15%
  • We review for depth, not buzzwords.

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