Applied AI Engineering Lead

Peregrine

San Francisco (CA)

On-site

USD 250,000 - 360,000

Full time

14 days+
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Job summary

Peregrine is seeking a Lead of Applied AI to own how AI is applied, evaluated, and operationalized across our product, turning complex data into trusted, explainable, and high-impact capabilities used in the field.

You will lead production AI in high-consequence environments, guiding fine tuning and reinforcement learning strategies, shaping AI infrastructure, and partnering with Product and Engineering to integrate AI into core workflows.

Qualifications

  • Shipping AI-powered features to production in enterprise or mission-critical environments.
  • Hands-on model fine-tuning with LLMs or deep learning models.
  • Experience with reinforcement learning in real systems.
  • Experience designing and operating AI infrastructure.
  • Owns model evaluation, experimentation, and quality metrics.

Responsibilities

  • Lead the design and deployment of customer-facing AI features across Peregrine’s platform.
  • Translate real operational problems into deployable AI-powered solutions.
  • Partner with Product, Deployment Strategists, and other Engineering teams to integrate AI into core workflows.
  • Own monitoring, drift detection, and failure analysis for deployed models.
  • 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.

Skills

AI leadership
Production AI
Model tuning
Reinforcement learning
ML infra
Quality measurement
System design
Data platforms
Security awareness
Team leadership

Job description

Requirements
  • 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
  • ,
  • (Desirable) Experience working with large scale and/or real-time data platforms
  • ,
  • (Desirable) Background in domains where trust, explainability, and reliability matter (e.g., public sector, security, healthcare, finance)
  • ,
  • (Desirable) Led software engineering teams before
What the job involves
  • Peregrine builds an end-to-end intelligence platform
  • ,
  • As the Lead of Applied AI, 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
  • ,
  • 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
  • ,
  • 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
  • ,
  • 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
  • ,
  • 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
  • ,
  • 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
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