Solutions Engineer

Customer & Solutions New York City FullTime Mid level

How it fits the AI era

The product itself exists because of AI, so the work sits close to how generative media is made and caught. Much of the demo building, integration scripting and questionnaire drafting can be sped up with AI tools, but judging what a detection score means for a given customer's risk and earning trust in a room stay human. The role also feeds field findings back to product and research, which keeps the loop between buyers and the models tight.

How it builds AI experience

Working here means gaining hands on exposure to deepfake detection across audio, video, image and text, and to how detection models are tested against real customer samples. A candidate can build this by practicing with the company's API and SDKs, learning how confidence scores and thresholds behave, and studying synthetic media and fraud use cases in contact centres and identity checks. Familiarity with adversarial ML or digital forensics helps but is listed as a nice to have.

Worth showing

• Proof of concept delivery
• API and SDK integration
• Regulated buyer security reviews

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Reality Defender

A New York company whose API and SDKs, per the company, scan live calls, meetings, images and video in real time to flag AI-generated deepfakes before they reach a bank, call centre or government system.