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# Senior Software Engineer

- **Company:** TruckSmarter, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $195,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Large Language Models, Performance Monitor, Machine Learning Operations, Virtual Agents
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1cfb7de258e31c30

## About the Role

Do you have experience in Team leadership?, Do you have a Bachelor's degree?, * 5+ years of industry experience, including leading projects end-to-end.

 * Demonstrated ability to design, build, and ship complex, production-grade systems.
 * Extremely curious about LLMs and Agentic AI architectures.
 * Experience in fast-paced, startup environments where you've had to wear multiple hats.
 * A track record of mentoring engineers and shaping team practices.
 * Bachelor's degree in a relevant field (or equivalent practical experience).

## Description

We're looking for senior software engineers to help us realize TruckSmarter's vision of eliminating inefficiencies across the freight industry. You'll be at the forefront of building text- and voice-based AI agents that can drive external communication, perform reasoning, execute actions, and continuously self-improve.

As a senior engineer, you'll play a critical role not only in building systems but also in shaping our technical and product strategy. You'll mentor peers, influence architectural decisions, and help us define what best-in-class AI-driven logistics software looks like.

What You'll Do

 * Partner closely with product, design, and leadership to define and evolve the architecture for agentic AI systems that scale across multiple product surfaces.
 * Own the design and delivery of complex features end-to-end, balancing tradeoffs between velocity, scalability, and long-term maintainability.
 * Lead technical discussions and architectural reviews, ensuring our systems remain robust, extensible, and secure.
 * Guide the integration of GenAI agents with traditional ML systems (classification, recommendation, optimization) to create hybrid intelligent workflows.
 * Establish engineering best practices around testing, observability, deployment, and performance monitoring for AI-driven features.
 * Proactively identify product and infrastructure bottlenecks, propose innovative solutions, and drive them to completion.
 * Mentor and coach other engineers, raising the technical bar of the team.
 * Stay ahead of emerging AI frameworks and technologies, evaluating and introducing them when they create real product advantage., We work in-person 5 days a week at our downtown San Francisco office. We believe the best products get built when people are in the same room. Fast feedback loops, real collaboration, and a team that genuinely enjoys working together. If that's how you do your best work, you'll fit right in.


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