Staff AI Engineer — Real-Time Gen AI & Data Platform

Peregrine; New York (NY); On-site; USD 200,000 - 275,000; Full time

Job summary

Peregrine Technologies is building an AI-powered platform to turn complex public safety data into actionable insights. As part of the engineering team, you will deliver scalable, secure software and AI-driven features that customers rely on for faster decisions.

You will work on a modern stack (Python, Django, React) and collaborate with deployment and product teams to ship reliable code, test thoroughly, and iterate based on user feedback. NYC-based, on-site preferred.

Qualifications

• Desire to own large portions of the application from start to finish.
• Passion for shipping software that delights users.
• Thrive on ambiguity and tackle hard problems.
• Ability to translate product requests into reliable software components.
• Experience with cross-functional teams and production-grade software.

Responsibilities

• Deliver differentiated value with generative AI features for customers.
• Scale platform to handle terabytes of data from diverse sources.
• Efficiently query and notify users in real time.
• Optimize search algorithms for fast results.
• Collaborate with deployment team and users to iterate.

Skills

Generative AI best practices

ML models training/deploy/monitoring

Cross-functional teamwork

Strong software development basics

Education

Degree in Computer Science or related field

Tools

Python

Django

Airflow

Kafka

React

Redux

Mapbox

PostgreSQL

Elasticsearch

Bedrock

Sagemaker

Job description

Peregrine Technologies is building an AI-powered platform to turn complex public safety data into actionable insights. As part of the engineering team, you will deliver scalable, secure software and AI-driven features that customers rely on for faster decisions.

You will work on a modern stack (Python, Django, React) and collaborate with deployment and product teams to ship reliable code, test thoroughly, and iterate based on user feedback. NYC-based, on-site preferred.