Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
RoleAs a member of our engineering team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.
Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.
Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you- Desire and drive to own large portions of the application from start to finish
- Passion for crafting and shipping software solutions that delight users
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
- Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
- Knowledge of how to train, deploy, integrate, and monitor machine learning models
- Degree in Computer Science or a related field, or equivalent experience
- Over 8 years of experience working with cross-functional software development teams.
- Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Strong best practices in modern software development and comfort navigating large codebases
- Located in NYC and open to working in office
Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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