Senior Forward Deployed Engineer LSP Engineering VIEW

LSP
44 is the AI-native agent and API infrastructure company for logistics service providers-the 3PLs, freight forwarders, and brokers who move the world’s freight. Built on more than a decade of the largest logistics data graph and carrier network on Earth (280,000+ carriers, 1.5 billion shipments, 706 million carrier events processed daily), LSP
44 gives LSPs the AI agents, carrier infrastructure, and developer capabilities to embed intelligence directly into their own products and workflows.

LSP
44isn’ta startup chasing a market-it’sthe original infrastructure project
44 built starting in 2014, and nine of the world’s ten largest logistics service providers already run on it. LSP
44 launched profitable on day one, with its own sales, engineering, and product leadership, and a mandate to move at the speed of the LSPs it serves.

If you want to build technology that ships in days instead of quarters, that LSPs embed directly into how they operate, and that’sgrounded in more data and context than anyone else in the category-we should talk.

AI at LSP
44

Every LSP
44 team member is expected to be an intelligent, hands-on user of AI-and for Product, that bar is even higher: the products you’re defining are AI agents. We don’t expect everyone to be a data scientist, but we do expect everyone to identify where AI adds value, direct it effectively, evaluate its outputs critically, and govern it responsibly, in your own workflow and in the products you build.

The Role

Most engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts — owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network — replacing manual workflows with autonomous agent-to-agent coordination.

What you learn in the field shapes the roadmap. You ship in weeks, not quarters.

What You'll Work On

• Own end-to-end integration for dedicated LSP accounts — configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly
• Unify disparate customer data into a single actionable signal — driving dynamic interoperability across core business systems
• Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling — reducing time-to-value and making adoption feel natural
• Feed the right context to agents and debug decisions when they go wrong — tracing failures back to the specific data point, prompt, or tool use that caused them
• Build event-driven pipelines (Kafka/Pub Sub) that carry agent intent at the scale of millions of logistics events per day
• Serve as the ground truth — we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when

What We're Looking For

Qualifications

• 5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role
• Mastery of API-first design and bi-directional webhook configuration
• Experience with event-driven architecture and stream processing (Kafka, Pub Sub, or similar)
• Hands-on integration experience with TMS, WMS, or ERP systems
• Deep domain knowledge in logistics — freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.

Nice to Have

• Experience with agentic AI systems — context feeding, prompt engineering, tool invocation, stateful agents
• Prior experience in a…