Build AI that talks, negotiates rates, and enables autonomous movement of trucks from pickup to delivery

Demo of AI booking a shipment in 10 minutes by speaking to 96 trucking companies simultaneously

The problem

If Walmart needs to move a truck of avocados from California to Chicago, today they must:

• Speak with 50+ trucking companies
• Check weight and temperature requirements
• Negotiate price and availability
• Do it one call at a time

This process takes hours and thousands of phone calls every day across the industry.

What we’re building

We’re building AI agents that do this work automatically.

• Calls and emails dozens of trucking companies at once
• Checks requirements (weight, temperature, lanes)
• Negotiates prices in parallel
• Books a truck in minutes, not hours

Proof it works

👉 In this demo, our AI spoke to 96 trucking companies simultaneously and booked a shipment in under 10 minutes - https://www.linkedin.com/feed/update/urn:li:activity:7394069447327555584

Why this is exciting

• You’ll work on AI that handles real-world transactions through phone calls
• Real-world, high-stakes work enabling autonomous logistics - think moving a truck from Chicago to Texas, fully coordinated by AI
• Small team, high ownership, fast iteration
• Hard problems that don’t exist in benchmarks

What we’ll work on

Core Agent Work

• Build AI agents that negotiate the best prices for Fortune 500 shippers
• Design agent architectures that reduce dependence on LLMs
• Optimize prompts and policies using creative, non-obvious techniques
• Reduce drift in long, multi-turn conversations
• Evaluate changes using real call outcomes, not just offline metrics

Speech And Conversation:

• Tune interruption handling and turn-taking
• Tweak speech models for:
  • Natural pacing
  • Intonation
  • Non-robotic cadence
• Optimize conversation timing, brevity, and correctness

Systems & Deployment

• Own the full lifecycle: prototype → deploy → monitor → iterate
• Design and ship production-grade agents
• Work with large datasets and backend systems
• Build integrations and deploy to cloud infrastructure
• Set up CI/CD, logging, and live quality monitoring

Leadership & Customer Impact

• Lead customer engagements from deployment to success
• Act as primary point of contact and unblock progress
• Mentor and grow other agent engineers into owners
• Debug live issues in real time
• Feed customer insights back into product and platform

You can be a great fit, if:

• Agent Engineer with Real-World Experience – You’ve trained and shipped agents in production.
• Know the Stack – Understanding of tool calls, APIs, React, Python, etc.
• Execution-Oriented – You move fast, take ownership, and focus on solving real problems over perfect ones.
• Startup-Ready – You’re adaptable, resilient, and energized by ambiguity and fast-changing priorities.
• Clear Communicator & Team Player – You collaborate well across functions and push decisions forward.

Details

• Cash + Equity
• Location: San Francisco, CA, US

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Interview Process

1. 30 mins with Co-Founder (online)
2. Assignment (take-home)
3. 15 mins with Co-Founder (online)
4. Work trial (in-person in SF)
5. Offer