Backend Engineer

Augment•San Francisco, CA

About The Position

Logistics is broken. Let's fix it. We are a group of engineers, product designers, and customer champions applying the most transformative technology of our times, AI, to one of the largest industries in the world, logistics. In our prior lives, we have built multi-billion dollar companies with products that delighted thousands of merchants and powered billions of dollars of commerce. We are looking for intelligent, driven people with insatiable curiosity and a desire to make an impact. If you’re excited to build AI that can reason and take action, like humans, in one of the most complex industries in the world — apply below.

Requirements

BS degree in Computer Science, similar technical field of study, or equivalent practical experience.
4+ years of experience in a related role.
Insatiable curiosity, undying passion, and ownership to take on hard real-world problems.
Extensive TypeScript, Python, or JavaScript experience.
Someone who verifies their work through thorough unit testing and end-to-end testing.
Experience shipping production code with full instrumentation: deployment, logging, and monitoring, and documentation.
Experience processing large amounts of data.
Experience with building and evolving REST APIs.
Experience with distributed systems.
Excellent communication skills in verbal and written English.
Must be willing to work full-time in San Francisco or Austin.

Nice To Haves

Experience building AI agentic applications.
Experience with Open AI, Anthropic, Llama, and other leading LLMs and Cartesia, Eleven Labs voice models.
Master’s, PhD degree, further education, or experience in engineering, computer science, or other technical related field.
Prior experience in Logistics, Freight brokerage, Shipping, and Warehouse technologies.
Machine learning, operations research and optimization, developing large software systems, logistics & fulfillment industry, pricing algorithms, shipping technology.
Rich GitHub or hackathon accolades or other ways you can show that you love to code.

Responsibilities

Build AI assistants for logistics by designing, developing, testing, deploying, maintaining, and improving pragmatic software.
Manage individual project priorities, deadlines, and deliverables.
Be a full business owner: shape the foundation of the product and business that you work on.
Actively learn new languages, techniques, and methodologies.
Contribute actively to code reviews and design reviews.