AI/ML Engineer

About Linero

Linero is building the operational infrastructure that ensures the world's most sensitive technologies reach the right hands, and never the wrong ones.

Our customers include some of the most consequential companies in the world: leading AI labs, aerospace and defense primes, semiconductor giants, quantum computing pioneers, and companies pushing the frontier in chemicals, advanced manufacturing, and robotics.

We are an AI-native, venture-backed company creating a new category of software at the intersection of national security, industrial infrastructure, and enterprise AI.

The Role

As AI/ML Engineer, you will build and own the intelligence layer at the core of our product: models, pipelines, and agent systems that allow Linero to reason over complex, sensitive enterprise data, entirely within controlled, private environments.

This is a production-focused, high-stakes role. You are building systems that real enterprise customers depend on, operating under some of the most demanding security and accuracy requirements in the industry.

What you'll own

• Design and own Linero's AI architecture, selecting, fine-tuning, and deploying the right models for each use case within controlled, private environments

• Build and maintain RAG pipelines that allow models to reason over sensitive, proprietary enterprise data without exposing it to public APIs

• Fine-tune foundation models on domain-specific data to achieve the classification accuracy and reliability our customers require

• Design and orchestrate a fleet of specialized AI agents, including agents that process and tag internal enterprise documents and agents that monitor and analyze external data sources

• Build evaluation frameworks, benchmarks, and observability tooling to ensure model reliability, accuracy, and auditability in production

• Own the private inference infrastructure, ensuring all AI runs in controlled environments that meet the security posture of our most demanding customers

• Work closely with platform and infrastructure teams to ensure AI systems are integrated securely and can scale across the product

What we're looking for

• 4+ years of experience in AI/ML engineering with a strong emphasis on production systems

• Deep experience fine-tuning and evaluating large language models for domain-specific applications; you know how to get reliable, accurate results from existing models, not just benchmark performance

• Strong experience building RAG systems, retrieval architecture, chunking strategies, embedding models, and evaluation