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Safari AI

Software Engineer, Cloud Infrastructure

Safari AI is hiring a Software Engineer, Cloud Infrastructure. Level rates it ; you can apply on Safari AI.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AWS, Google Cloud and Azure.
  • Level classifies it as a mid-level role.
  • Level lists 8 other open roles at Safari AI.

AI in this role

Cloud Infrastructure Software Engineer to build and scale services for a computer vision AI startup.

AWSGoogle CloudAzure
computer-visioncloud-infrastructuresystem-designsoftware-developmentdistributed-systems
About Safari AI Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Tennessee Titans, and more. Leadership & Culture Safari AI is founded by Ali Vahabzadeh, who has a meaningful exit under his belt and has managed large, high-performing Go To Market and Engineering teams. The company is headquartered in Miami with the Engineering team co-located in Vancouver. About You And How You Succeed At Safari AI You're excited to build a product and invent a market that hasn't existed before. You read documentation first and are not afraid to ask for help when uncertain. You're looking to take ownership/run a singular project and take advantage of the freedom and culture an early stage startup can provide. You are looking to see through the fluff of the modern AI landscape and explore new ways of achieving measurable ROI. Enjoy a small team size ~10, project team of 1-3.

What you will be working on regardless the roles

  • Primary contributor of Safari AI cloud infrastructure
  • Practice engineering best practices for system design, coding, documentation and communication
  • Work closely with engineering team members and operation team to identify new priorities and communicate it well
  • Contribute to engineering development process improvements
  • Set technical direction for cloud infrastructure stack

What you must have

  • 4-6 years software individual contributor experiences
  • proficiency in AWS or at least one of the following public cloud: GCP/Azure
  • proven record on building a complex service from scratch to production
  • experiences in delivering incremental features and maintaining reliabilities of a production service
  • good understanding in best practices in software development lifecycle (SDLC) and security compliance

Nice-to-Haves

  • proven experiences of building a team and mentoring skills
  • streaming processing service experiences
  • machine learning engineering experiences

What we provide

  • Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
  • Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
  • Competitive salary and meaningful equity for early team members
  • Unlimited vacation days
  • Generous health benefits (Health, Vision, Dental)
  • 401k for US team members
  • Brand new, top of the line hardware and whatever else you need to help you win

We are not considering any agent/agency and only matched candidates will be reached out.

!!! Very Important !!! Please send us your code or piece of work, if you are interested in this position and you will not be reached out otherwise.

Why bet on Computer Vision and Safari AI?

  1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
  2. Already the market leader in enterprise CV by working with industry leaders with billions in revenue
  3. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
  4. Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
  5. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
  6. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale

How we rate this

Software Engineer, Cloud Infrastructure at Safari AI rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionCloud InfrastructureSystem DesignSoftware DevelopmentDistributed SystemsAWSGoogle CloudAzure

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  3. Tell me about a project where system design was part of your work. What did you do?
  4. Tell me about a project where software development was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Cloud Infrastructure, System Design, Software Development, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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