About the Role
We're hiring an AI Deployment Engineer/Manager to bring Safari AI's computer vision system to life at theme parks, stadiums, retail stores and live venues. You'll report to the Deployment lead and work alongside our ML and Engineering teams. This is forward-deployed work: cameras, edge computers, networks and servers, from the first site survey to a live, monitored system.
You'll get real ownership quickly. In your first 90 days you'll run parts of deployments with support from the team. By month six you'll own smaller deployments and pilot kits yourself. After about 12 months, a successful hire can grow into a senior Deployment Engineer, Solutions Engineering or Client Success role.
This role is remote within the U.S., with regular travel to customer sites.
What You Will Be Doing
- Hardware Provisioning & Linux Administration: Set up and configure edge computers (x86 GPU servers and NVIDIA Jetson), cameras, network switches and 5G/LTE modems before they ship. Maintain, patch and troubleshoot Linux systems in the field, and improve our install scripts and Ansible playbooks.
- On-Site Deployment & Implementation: Travel to customer sites to install and connect cameras and edge devices, verify camera streams and angles, and bring systems online. Work with installation contractors and customer IT teams to keep rollouts on schedule.
- Solution Design (with the Deployment lead): Run pre-deployment assessments covering camera inventory, network layout, bandwidth sizing, redundancy and rack space. Help spec ML/GPU hardware and design site-to-site and VPN connections.
- Project Coordination: Track hardware inventory, order from preferred vendors, coordinate shipping, and keep checklists, timelines and status reports current.
- Customer Support & Monitoring: Be a technical point of contact for customers during and after deployment. Respond to alerts such as an offline camera or edge device, and resolve or escalate issues with clear notes.
- Documentation & Automation: Write installation guides, SOPs and handoff documents, and use AI tools and scripts to automate repetitive deployment and support work.
What We're Looking For
- A degree in Computer Science, Computer/Electrical Engineering, Information Technology or a related field, or equivalent hands-on experience
- 0–3 years of experience in IT, system administration, network support, field engineering or a similar role (internships, co-ops and homelab projects count)
- Comfortable on the Linux command line: SSH, permissions, services, logs and basic shell scripting
- Basic networking: IP addressing, subnets, DHCP, DNS, switches and PoE
- Comfortable with physical hardware: racking a server, running and testing cable, mounting and aiming a camera, working on a ladder
- Strong troubleshooting habits: you narrow a problem down step by step and write down what you tried
- Clear written and verbal communication with teammates, contractors and customer IT staff
- Organized, detail-oriented and a fast learner in new technical environments
Bonus Points
- Experience with IP cameras, NVR/VMS systems or RTSP streams (Axis, Hanwha, Hikvision and similar)
- Experience with NVIDIA Jetson, GPUs or other edge AI hardware
- Ansible, Docker, OpenVPN/WireGuard or other automation and remote-access tools
- CompTIA Network+, CCNA or a homelab you can tell us about
- Consulting, robotics or computer vision experience
- You've built or used an AI agent to automate your own work
Additional Requirements
- Must be permanently authorized to work in the U.S. (e.g., U.S. citizen or green card holder). We are unable to sponsor or take over sponsorship of work visas, now or in the future.
- Able to travel regularly to customer sites, sometimes on short notice
- Willing to work evenings and weekends when sites are closed to guests, and to respond to emergencies on priority projects
- Able to lift and carry up to 50 lb of equipment
Why bet on Computer Vision and Safari AI?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
Skills Required
- Degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related field, or equivalent hands-on experience
- 0-3 years of experience in IT, system administration, network support, field engineering, or a similar role; internships, co-ops, and homelab projects count
- Comfort with the Linux command line, including SSH, permissions, services, logs, and basic shell scripting
- Basic networking knowledge, including IP addressing, subnets, DHCP, DNS, switches, and PoE
- Ability to rack servers, run and test cable, mount and aim cameras, and work on a ladder
- Strong step-by-step troubleshooting and documentation habits
- Clear written and verbal communication with teammates, contractors, and customer IT staff
- Organized, detail-oriented, and able to learn new technical environments quickly
- Experience with IP cameras, NVR/VMS systems, or RTSP streams
- Experience with NVIDIA Jetson, GPUs, or other edge AI hardware
- Experience with Ansible, Docker, OpenVPN, WireGuard, or similar automation and remote-access tools
- CompTIA Network+, CCNA, or a relevant homelab
- Consulting, robotics, or computer vision experience
- Experience building or using an AI agent to automate work
- Permanent authorization to work in the United States without visa sponsorship
- Ability to travel regularly to customer sites, sometimes on short notice
- Willingness to work evenings and weekends and respond to emergencies on priority projects
- Ability to lift and carry up to 50 pounds of equipment
What We Do
Safari AI, fka curbFlow, delivers cutting-edge Computer Vision AI solutions that empower enterprise clients to monitor and analyze their physical operations in real-time using their own camera systems. With the flexibility to seamlessly integrate with any modern IP camera, we can apply our wide range of algorithms to start gathering essential data for our clients within days. Our sophisticated data analytics have been trusted by industry leaders such as Taco Bell, Merlin Entertainments (the parent company of Legoland), Manhattan Mini Storage, JBG Smith (landlord for Amazon HQ2), Goodwill, Brightline, and many more. We provide invaluable insights, from pedestrian and vehicle counts, throughput and live wait times to heatmapping asset utilization, vehicle classification, and license plate recognition. These insights not only enhance operational efficiency but also boost revenue and drive cost savings. Since our inception, Safari AI has successfully raised $13 million in funding, with notable investments from General Catalyst, Initialized, and other esteemed partners
