Staff Software Engineer, AI Products

Job not on LinkedIn

🕒 March 28

🏢🏡 San Francisco – Hybrid

💵 $210k - $240k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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TruckSmarter

WebsiteLinkedInAll Job Openings

11 - 50 employees

💰 $25M Series B on 2022-09

Logistics is one of the single largest industries in the world ($8-12T globally, $2T in the US). A single percent of improvement drives profound change to every corner of the world -- from the cost of our goods, to the livelihoods of local communities, to even the impact on our environment.

📋 Description

• Partner with product, design, and engineering to turn ambiguous problems into clear technical plans and scalable architectures. • Own the end-to-end design and delivery of complex, cross-cutting features (product + infrastructure + reliability). • Define and evolve the architecture for agentic AI systems (text + voice) that can reason, take actions, and self-evaluate. • Build and integrate GenAI agents with traditional ML systems to power hybrid intelligent workflows. • Establish and raise the bar for quality, observability, and performance across our products and AI model behavior (monitoring, evaluation pipelines, iteration loops). • Make crucial architectural decisions that will influence feature development for years—balancing speed with long-term maintainability. • Lead technical reviews and provide high-leverage feedback through code reviews, design docs, and system-level guidance. • Mentor and unblock other engineers; help the team move faster by improving systems, tooling, and execution patterns. • Continuously experiment with new technologies and frameworks—introducing them when they create durable product advantage.

🎯 Requirements

• 8+ years of industry experience building and shipping production software (or equivalent depth of impact), including leading large projects end-to-end. • Drivers, not passengers • A track record of architecting scalable systems and making principled tradeoffs across product, reliability, and velocity. • Informed opinions about LLMs, agent behavior, and evaluation—and the rigor to validate them in production. • Experience thriving in fast-moving environments with shifting priorities and imperfect information. • Demonstrated ability to mentor engineers and influence without relying on org structure.

🏖️ Benefits

• Offers Equity