Backend Engineer

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.

• 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.

• 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.

• 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.

• Independent Service Oriented Architectures with services composed of:

  • Node, TypeScript, MySQL RDS, SQS, SNS.

  • React and Redux for UI.

• We run on AWS.

• Competitive Salary + Stock Options

• Comprehensive Health, Vision, and Dental Benefits

• Flexible PTO

• On-site Gym

At Augment, we set out to create a fully autonomous AI platform that streamlines operations and reclaims the human element in logistics. Our founders recognized a pattern: talented professionals were stuck handling manual data entry, phone calls, and repetitive tasks, instead of focusing on high-impact problem-solving and strategic decision-making.

That insight became our mission—to free logistics professionals from busywork so they can focus on what truly drives business growth. Augment isn’t just about efficiency; it’s about transforming an entire industry by empowering teams with AI-driven solutions that make logistics smarter, faster, and more adaptive.

Join us on this journey!

Augment is an Equal Opportunity Employer and values diversity at our company. We consider all qualified applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other legally protected status.

Augment complies with federal, state, and local laws regarding equal employment opportunity and reasonable accommodation. If you need assistance or an accommodation during the application or interview process, please contact your recruiter.

We also consider qualified applicants with arrest and conviction records in accordance with applicable federal, state and local fair-chance / ban-the-box laws (for example, but not limited to, the California Fair Chance Act).