Applied AI Engineering Lead
Peregrine Technologies3 days ago
Base Salary
$225k - $320k/yr
Responsibilities
- Lead the design and deployment of customer-facing AI features across Peregrine’s platform.
- Translate operational problems into deployable AI-powered solutions and integrate AI into core workflows.
- Guide fine-tuning strategies and reinforcement learning while selecting among classical ML, deep learning, and LLM-based approaches.
- Shape training and inference pipelines, model serving, versioning, rollback, and integration with real-time and batch data systems.
- Ensure deployed models are observable, scalable, secure, cost-effective, and compliant with enterprise and government requirements.
- Define evaluation frameworks and quality standards, and own monitoring, drift detection, experimentation, and failure analysis.
- Build and lead the Applied AI/ML team and set technical direction and strategy for applied AI across Peregrine.
Requirements
- Demonstrated experience shipping AI-powered features into production, ideally in enterprise or mission-critical environments.
- Hands-on experience with model fine-tuning for LLMs or deep learning models.
- Practical exposure to reinforcement learning.
- Experience designing and operating AI/ML infrastructure.
- Direct ownership of model evaluation, experimentation, and quality measurement.
- Strong software engineering fundamentals as a lead.
- Experience with large-scale or real-time data platforms is a strong plus.
- Experience in public sector, security, healthcare, finance, or other domains where trust, explainability, and reliability matter is a strong plus.
- Previous software engineering team leadership experience is a strong plus.
Benefits
- Benefits, equity if applicable, and bonus if applicable are offered.
- The posting does not specify a work arrangement or other practical logistics.
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