Field AI Deployment Engineer – Travel 40–50%

Raydar; Chicago (IL); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Full family health-insurance coverage

Annual travel stipend

Monthly productivity stipend

Monthly AI-tools budget

Equity

Job summary

Raydar is seeking an engineer to lead customer-facing computer vision deployments from proof of concept to production. The role requires embedding on-site with clients to build technical systems, configure data pipelines, and optimize edge-hardware performance.

Ideal candidates have 1–8 years of experience in forward deployed or solutions engineering, strong Python and systems‑level skills, and the ability to travel 40–50% of the time.

Qualifications

• 1–8 years of experience in forward deployed or solutions engineering.
• Proficiency in Python and systems-level skills; travel 40–50% mandatory.

Responsibilities

• Lead customer-facing computer vision deployments from proof of concept to production.
• Embed on-site with clients to build technical systems and optimize edge hardware performance.
• Configure data pipelines and ensure robust deployment pipelines.
• Collaborate with cross-functional teams to ensure successful delivery.

Skills

Python

Docker

Kubernetes

Linux

Computer Vision

MLOps

Edge Computing

NVIDIA Jetson

Solutions Architecture

Field Engineering

Data Pipelines

Networking

Industrial Cameras

Robotics

IoT

Customer Deployment

Education

Bachelor's degree in a technical field

Tools

Docker

Kubernetes

Job description

Raydar is seeking an engineer to lead customer-facing computer vision deployments from proof of concept to production. The role requires embedding on-site with clients to build technical systems, configure data pipelines, and optimize edge-hardware performance.

Ideal candidates have 1–8 years of experience in forward deployed or solutions engineering, strong Python and systems‑level skills, and the ability to travel 40–50% of the time.