Lanesurf Verified
["Sports & Recreation","Leisure","Engineering","Manufacturing"]
Agent Engineer
San Francisco, California, United StatesOnsiteFull Time$120,000–$150,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
We are seeking an Agent Engineer to build AI that handles real-world transactions, including negotiating rates and enabling autonomous movement of trucks. You will design and implement AI agents that can call and negotiate with dozens of trucking companies simultaneously, booking shipments in minutes. This role involves core agent work, speech and conversation optimization, systems deployment, and leading customer engagements. You will work with large datasets, backend systems, and cloud infrastructure, owning the full lifecycle from prototype to production. The ideal candidate has experience shipping agents in production, proficiency in Python and APIs, and a strong execution-oriented mindset.
# 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**](https://www.linkedin.com/feed/update/urn:li:activity:7394069447327555584)
### 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
### [**Demo of AI booking a shipment in 10 minutes by speaking to 96 trucking companies simultaneously**](https://www.linkedin.com/feed/update/urn:li:activity:7394069447327555584)
### 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
