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Founding Engineer

Evrim

Arlington, VAHybridJobNo compensation foundPosted 4w agoVerified open 6 days ago

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At a glance

Compensation
No compensation found
Location
Arlington, VAHybrid
Work Authorization
Not specified

Job overview

Evrim is hiring a Founding Engineer. As a Founding Engineer at Evrim, the individual will set the pace and direction for the infrastructure behind the company’s Data and AI initiatives, working from the Crystal City office on a hybrid schedule and traveling to support customer deployments.

Key focus areas include Build large‑scale infrastructure for data and AI, from ingestion to confidence scoring, Manage, deploy, and optimize traditional ML and LLM models in production, and Push the frontier on how LLMs and agents reshape disambiguation, entity resolution, and ontology.

Important skills include Machine Learning, Consumer Engagement, Data Processing, Multi-Cloud Infrastructure, Managing ML Models, and Deploying ML Models.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningConsumer EngagementData ProcessingMulti-Cloud InfrastructureManaging ML ModelsDeploying ML ModelsOptimizing ML ModelsManaging LLM ModelsDeploying LLM ModelsOptimizing LLM ModelsLLMs and Agents for DisambiguationLLMs and Agents for Entity ResolutionLLMs and Agents for OntologyCustomer InteractionUnderstanding Use CasesUnderstanding WorkflowsSupporting Commercial Mission SetsSupporting National Security Mission Sets

Qualifications

Work in Person 3 to 5 Days a Week in Crystal City, VA

Full job description

In person, 3 to 5 days a week · Salary + Equity As Founding Engineer, you set the pace and direction for the infrastructure behind Evrim's Data and AI work. You'll be based with the team at our Crystal City, Virginia office on a hybrid schedule, and travel to support customer deployments of the Evrim stack. What you will do- Build the large-scale infrastructure behind our Data and AI work, from ingestion through extraction to a source-cited confidence score on every value we surface.- Manage, deploy, and optimize both traditional ML and LLM models in production.- Push the frontier on how LLMs and agents reshape disambiguation, entity resolution, and ontology.- Work directly with customers across commercial and national security mission sets to understand their use cases and workflows. What we are looking for- Strong foundations with multi-cloud infrastructure.- Experience managing, deploying, and optimizing traditional ML and LLM models.- Forward leaning on how LLMs and agents will change disambiguation, entity resolution, and ontology.- Comfortable working closely with customers to understand use cases and workflows.- Passion for supporting commercial and national security mission sets.- Open to working in person 3 to 5 days a week in Crystal City, VA.

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