1,987,580open jobs
117,624companies
247,118added this week
Browse all
Salary
$225k – $320k per year
Location
In office (San Francisco)
Seniority
Staff
Visa
H-1B filings in 12 months: 6 · for this role: 5

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Feb 5, 2026. Peregrine Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Peregrine Technologies builds an operational data platform for public safety agencies and other high-criticality organisations, unifying records, dispatch, video and other systems in one searchable interface. Police departments, sheriff's offices, city governments and federal agencies use it to connect case data, spot patterns and answer questions during live incidents instead of querying each system separately. Founded in 2020 and headquartered in San Francisco, the company is backed by Silicon Valley investors, announced a $250 million Series D round and hires engineers and public-sector teams across the United States.

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. 

The Role

Peregrine builds an end-to-end intelligence platform. As the Applied AI Engineering Lead, you will own how artificial intelligence is applied, evaluated, and operationalized across our product, turning complex data into trusted, explainable, and high-impact capabilities used in the field.

This role is about production AI in high-consequence environments. You’ll lead to develop AI-powered features that help customers detect risk, surface insights, and make faster, better decisions while maintaining high reliability, transparency, and performance.

What You’ll Do

Build AI-Powered Product Capabilities

  • Lead the design and deployment of customer facing AI features across Peregrine’s platform
  • Translate real operational problems into deployable AI-powered solutions
  • Partner deeply with Product, Deployment Strategists, and other Engineering teams to integrate AI into core workflows

AI/ML Foundations

  • Own and guide fine tuning strategies and reinforcement learning to improve decision quality
  • Make principled tradeoffs between classical ML, deep learning, and LLM-based approaches based on accuracy, latency, and risk

AI Infrastructure

  • Shape Peregrine’s AI infrastructure, including:
    • Training and inference pipelines
    • Model serving, versioning, and rollback
    • Integration with real-time and batch data systems
  • Ensure models are observable, scalable, secure, and cost-effective in production
  • Meet enterprise and government requirements

Evaluation, Trust, and Quality

  • Define and operate robust evaluation frameworks
  • Establish quality standards that reflect real-world decision impact, not just model accuracy
  • Own monitoring, drift detection, and failure analysis for deployed models

Leadership & AI Strategy

  • Build and lead a high-performing Applied AI/ML team
  • Set technical direction for applied AI across Peregrine
  • Partner with executive leadership on AI strategy, roadmap, and responsible deployment

What We’re Looking For

Required

  • Demonstrated experience shipping AI-powered features into production, ideally in enterprise or mission critical environments
  • Hands-on experience with model fine tuning (LLMs or deep learning models)
  • Practical exposure to reinforcement learning
  • Experience in designing and operating AI/ML infrastructure
  • Direct ownership of model evaluation, experimentation, and quality measurement
  • Strong software engineering fundamentals as a lead

Strong Plus

  • Experience working with large scale and/or real-time data platforms.
  • Background in domains where trust, explainability, and reliability matter (e.g., public sector, security, healthcare, finance)
  • Led software engineering teams before

What Success Looks Like

  • AI features are deeply embedded in Peregrine’s core product and relied on by customers
  • AI is applied to generate outcomes that are measurable, monitored, and improving over time
  • Make AI a force multiplier both internally and externally

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable)

$225,000—$320,000 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.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,987,580 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
San Francisco
≈ $179k – $356k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Kirkland
AI/ML
Qwen
DeepSeek
Vertex AI
Gemma
JAX
Multimodal AI
NLP
Llama
Mistral
LLM
Mixtral
Post-training
TPU
World Models
Physical AI
Machine Learning
Mobile
Core ML
DevOps
GCP
Apply
≈ $191k – $381k per year (Estimated) • In office • Full-Time • PhD • San Francisco
AI/ML
Hadoop
Embeddings
Computer Vision
ONNX
OpenVINO
TensorFlow
PyTorch
OCR
Human-in-the-Loop
Robotics
Sensor Fusion
Apply
≈ $205k – $408k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
AI/ML
Vertex AI
Fine-tuning
Reinforcement Learning
TPU
Machine Learning
DevOps
GCP
Apply
$185k – $259k per year • Hybrid • Full-Time • 7+ years exp • Bachelor's Degree • San Francisco • Washington
Python
SQL
Databases
Databricks
AI/ML
Model Context Protocol
MLFlow
Fine-tuning
Quantization
Knowledge Distillation
AWS Bedrock
LLM
AWS Bedrock AgentCore
A2A
Model Distillation
DevOps
OpenTelemetry
Dynatrace
CI/CD
AWS
Cybersecurity
Least Privilege
Apply
$113k – $189k per year • In office • Full-Time • Bachelor's Degree • Barcelona
AI/ML
LangGraph
LangChain
MLFlow
AI Agents
Kubeflow
CrewAI
Multi-Agent Systems
Machine Learning
DevOps
Terraform
Prometheus
CI/CD
Kubernetes
Grafana
Management
n8n
Apply
≈ $57k – $113k per year (Estimated) • In office • Full-Time • 3+ years exp • Nottingham
Python
SQL
Python
pySpark
Databases
Databricks
AI/ML
Spark
Fine-tuning
LLM
Time Series
Machine Learning
DevOps
Azure DevOps
Azure
Git
Apply
≈ $54k – $90k per year (Estimated) • In office • 5+ years exp • Warsaw
Python
AI/ML
LangGraph
Weights & Biases
LangChain
Kedro
DSPy
MLFlow
Fine-tuning
Embeddings
AI Agents
NLP
LLM
RAG
KServe
Agentic Workflows
Machine Learning
DevOps
GCP
CI/CD
Kubernetes
Apply
Hybrid • Full-Time • Bachelor's Degree • Turku • Espoo • Copenhagen
Python
Python
FastAPI
Pydantic
Databases
Redis
Qdrant
AI/ML
LangGraph
LangChain
Embeddings
AI Agents
Langfuse
LangSmith
LLM
RAG
Reranking
OpenAI
Human-in-the-Loop
LLM Guardrails
DevOps
Azure DevOps
OpenTelemetry
Azure
CI/CD
Git
Docker
Bicep
Incident Management
QA
Pytest
Apply
Remote (likely EAEU) • Full-Time
AI/ML
ChatGPT
DeepSeek
Gemini
LLM
DevOps
Ansible
Kubernetes
Grafana
GitLab
Linux
Cybersecurity
Keycloak
SonarQube
Management
YouTrack
QA
Sentry
Apply
$22k – $29k per year • Remote (Germany, CET hours)
Python
JavaScript
TypeScript
AI/ML
Claude Code
Embeddings
AI Agents
LLM
RAG
Management
n8n
Zapier
Make.com
Apply
Commercial Counsel 4 days ago
$175k – $225k per year • In office • 4+ years exp • Washington • San Francisco
Apply
Commercial Counsel 4 days ago
$175k – $225k per year • In office • 4+ years exp • New York • San Francisco
Apply
Commercial Counsel 4 days ago
$175k – $225k per year • In office • 4+ years exp • San Francisco
Apply
$175k – $190k per year • In office • 5+ years exp • Bachelor's Degree • Washington
Apply
$140k – $190k per year • In office • Top Secret • Bachelor's Degree • Washington
Python
SQL
Apply
$250k – $405k per year • In office • Full-Time • San Francisco
Python
Rust
TypeScript
AI/ML
Reinforcement Learning
Multimodal AI
AI Agents
Perplexity
QA
Playwright
Apply
≈ $153k – $296k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • San Francisco
Python
Go
JavaScript
Rust
TypeScript
Frontend
Turborepo
DevOps
GitHub Actions
CircleCI
CI/CD
Buildkite
Bazel
Cybersecurity
SLSA
Sigstore
Apply
≈ $123k – $246k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
DevOps
GCP
Apply
$101k – $115k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • McLean • San Francisco • Richmond • Chicago • New York
SQL
AI/ML
Machine Learning
Apply
Founding Engineer 2 hours ago
≈ $120k – $258k per year (Estimated) • Remote (United States) • San Francisco • New York
Go
JavaScript
Node JS
Databases
PostgreSQL
Frontend
React.js
DevOps
AWS
Amazon EC2
GitHub
Amazon S3
Amazon ECS
Web3
Ethers.js
Ethereum
DeFi
Apply
See all jobs
This is one of many
1,987,580 more open roles from verified company boards, updated every day.