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Linero

Linero

Operational AI infrastructure for sensitive technologies

AI/ML Engineer

Full-Time
$160k - $250k/yr

+ Equity

Mid, Senior
New York, NY, USA
Remote

Applicants must be based in or willing to relocate to New York City; temporary remote work and case-by-case relocation assistance may be available.

No H1B Sponsorship
US Citizenship Required

About the job

Requirements
  • At least 4 years of experience in artificial intelligence and machine learning engineering, with a strong emphasis on production systems.
  • Deep experience fine-tuning and evaluating large language models for domain-specific applications.
  • Strong experience building retrieval-augmented generation systems, including retrieval architecture, chunking strategies, embedding models, and evaluation.
  • Experience designing and deploying multi-agent systems, including orchestration, tool use, failure modes, and observability.
  • Ability to build and operate artificial intelligence infrastructure in private, air-gapped, or highly restricted environments without public application programming interface access.
  • Strong software engineering fundamentals and experience shipping production systems.
  • Based in or willing to relocate to New York City.
  • Applicants must be U.S. persons, defined as citizens, lawful permanent residents, refugees, or asylees, because the role requires access to export-controlled information.
Responsibilities
  • Design and own Linero's artificial intelligence architecture, selecting, fine-tuning, and deploying models for each use case within controlled, private environments.
  • Build and maintain retrieval-augmented generation pipelines that allow models to reason over sensitive, proprietary enterprise data without exposing it to public application programming interfaces.
  • Fine-tune foundation models on domain-specific data to achieve required classification accuracy and reliability.
  • Design and orchestrate specialized artificial intelligence agents that process and tag internal enterprise documents and 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 and ensure that artificial intelligence runs in controlled environments meeting demanding customer security requirements.
  • Work with platform and infrastructure teams to integrate artificial intelligence systems securely and scale them across the product.
Desired Qualifications
  • Experience with information extraction, document classification, or natural language processing at scale.
  • Meaningful equity in an early-stage company.

About the company

Linero builds an AI-native operational platform that controls access to sensitive technologies in industries like AI labs, aerospace, semiconductors, and quantum computing. It runs an intelligence layer inside each client's private environment using Retrieval-Augmented Generation to reason over confidential data without exposing it to public APIs, and manages fleets of AI agents to process internal documents and monitor external signals. It also offers AI consulting, ROI-driven strategy, and custom apps that integrate with existing enterprise systems such as CRMs and ERPs. Its goal is to ensure high-stakes technologies reach the right hands and are protected from misuse by providing strong governance and controlled access across industrial and national-security domains.

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 Series C financing from LB Investment, KDB, and Helios funds expansion.
  • June 2026 hiring across AI, policy, and integrations supports commercialization beyond bespoke consulting.
  • Customers in AI labs, defense primes, and semiconductor giants value Linero's controlled-environment architecture.

What critics are saying

  • August 2026 jobs admit immediate hiring across many functions, signaling heavy burn before repeatable revenue.
  • Linero discloses no customer counts, ARR, or retention, making enterprise traction opaque through 2026.
  • A stalled federal security procurement cycle or failed export-control compliance program would kill deals by 2027.

What makes Linero unique

  • June 2026 jobs show Linero runs private-inference RAG and agent systems for sensitive data.
  • August 2026 policy hiring proves Linero sells governance, export-controls, and regulatory workflows, not generic SaaS.
  • September 2026 postings for deployment strategists and integrations signal hands-on enterprise implementation moat.

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