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Software EngineerAugment Technologies Inc • San Francisco, CA, United States
Software Engineer

Software Engineer

Augment Technologies Inc • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

About Us

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.

What You'll Do :

  • 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.

What We're Looking For :

  • BS degree in Computer Science, similar technical field of study, or equivalent practical experience.
  • 4+ years of experience in a related role.
  • Candidates must be located in the San Francisco area
  • 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.
  • Bonus Points For :

  • 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.
  • Our Stack :

  • Independent Service Oriented Architectures with services composed of :
  • Node, TypeScript, Rust, Ruby, Python,

  • MySQL RDS, SQS, SNS.
  • React and Redux for UI.
  • We run on AWS.
  • Estimated Base Salary Range : $200K - $270K USD

    For mid- to senior-level backend engineers, final placement within the salary range will depend on experience, qualifications, and interview performance, which will also determine the appropriate role level.

    In addition to base salary, total compensation will include equity, and Augment offers eligible full-time employees a comprehensive benefits package, including :

  • Medical
  • Dental
  • Vision insurance
  • 401(k) plan
  • Unlimited vacation
  • Monthly stipend
  • 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).

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