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Staff Software Engineer, Applied AI

Peregrine Technologies· Applied AI / ML
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Hybrid (Washington, DC)$200k - $275kfull-timePosted 1w ago

About the role

Staff Software Engineer role focused on delivering AI-enabled features, scalable platform, and user experiences powered by generative AI. Located in Washington, DC, with emphasis on ownership, collaboration, and shipping production-grade software.

Responsibilities

  • Own large portions of the application from start to finish
  • Craft and ship software solutions that delight users
  • Work on hard problems with ambiguity
  • Synthesize product requests into reliable software components
  • Scale platform to handle terabytes of data and ingested sources
  • Efficiently querying and notifying users in real time
  • Optimize search algorithms for fast results
  • Collaborate with deployment team and users to iterate and solve problems

Qualifications

  • 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 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
  • Ability to write robust, well tested, and well-designed code
  • Strong best practices in modern software development and comfort navigating large codebases
  • Located in Washington, DC and open to working in office

Skills

Required:Ownership of large software componentsProduct-driven software developmentProblem solving in ambiguity

Benefits

  • Benefits available as listed in the job description (link provided)
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Peregrine Technologies

Effective, efficient and easy to use, Peregrine is the real-time public safety and police data management platform that delivers true interoperability.

public safetypolice data managementinteroperability

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