Peregrine
Government & Public SectorDirect Greenhouse career site

Staff Software Engineer, Applied AI

Pay
$200,000 – $275,000 per year
Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Experience
8+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • Python
  • Django
  • AWS
  • Kubernetes
  • generative AI

Also useful

  • React
  • Kafka
  • Airflow
  • Elasticsearch
  • Terraform

About the role

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.

Team

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.

Role

As 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

What we look for

  • 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 San Francisco and open to working in office

Salary Range

$200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable) $200,000—$275,000 USD

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.

Read the original posting

From Peregrine's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Staff Software Engineer, Applied AI role at Peregrine?

The Staff Software Engineer, Applied AI posting at Peregrine states compensation of $200,000 – $275,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Peregrine's official career site.

Where is the Staff Software Engineer, Applied AI job at Peregrine located?

This Staff Software Engineer, Applied AI position at Peregrine is located in San Francisco, CA (On-site). Always check Peregrine's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Software Engineer, Applied AI at Peregrine?

For the Staff Software Engineer, Applied AI role, Peregrine highlights 8+ years of relevant experience; a bachelor's degree; experience with Python, Django, AWS, Kubernetes, generative AI. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Software Engineer, Applied AI position at Peregrine?

This listing links directly to Peregrine's Greenhouse application page. You can apply directly on Peregrine's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.