AI Enablement Engineer at Pryon

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

3+ years of professional experience in software engineering, solutions/pre-sales engineering, applied AI, or a related technical role
Proficiency in coding and scripting (e.g., Python, JavaScript, or similar) with the ability to build lightweight applications, UIs, and integrations
Hands-on experience with AI/ML technologies, such as LLMs, NLP, RAG systems, or orchestration frameworks
Strong problem-solving skills with the ability to identify, define, and scope use cases that drive measurable business value
Experience measuring impact of technical solutions, including defining success metrics and quantifying productivity or efficiency gains
Ability to experiment with emerging technologies and apply them in practical, business-relevant contexts—even when they are not fully productized
Excellent communication and collaboration skills, with the ability to work cross-functionally and translate technical solutions into clear value for stakeholders
Experience with UI/UX development for internal tools or productivity apps
Familiarity with enterprise SaaS platforms and integrating APIs or data sources
Exposure to knowledge management, search, or retrieval systems
Demonstrated ability to create customer-facing collateral (e.g., reference architectures, case studies, solution benchmarks)
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)

Responsibilities

Identify and scope high-impact use cases where Pryon’s Memory Layer and advanced AI technologies can improve productivity and alignment
Deploy and configure Pryon solutions internally, ensuring that teams are able to access and apply knowledge efficiently
Experiment with and apply cutting-edge capabilities that may not yet be fully productized, serving as a hands-on product expert
Build lightweight applications, custom UIs, and extensions on top of Pryon’s platform to meet unique internal needs
Measure and quantify the impact of internal deployments, capturing productivity improvements, time savings, and efficiency gains
Translate internal successes into external collateral, including case studies, benchmarks, and reference architectures that showcase the value of Pryon solutions to the market
Document and codify best practices that can be scaled and replicated for customer-facing deployments
Enable adoption across Pryon teams, evangelizing AI solutions and ensuring colleagues can fully leverage them in daily workflows

Skills

Key technologies and capabilities for this role

RAGNLPLLMsOrchestrationAgentic CapabilitiesCustom UILightweight ApplicationsDeploymentConfigurationImpact Measurement

Questions & Answers

Common questions about this position

What experience is required for the AI Enablement Engineer role?

You need 3+ years of professional experience in software engineering, solutions/pre-sales engineering, applied AI, or a related technical role.

What technical skills are needed for this position?

Proficiency in coding and scripting (e.g., Python, JavaScript, or similar) is required, along with hands-on experience with AI/ML technologies such as LLMs, NLP, RAG systems, or orchestration frameworks.

What soft skills are important for success in this role?

Strong problem-solving skills with the ability to identify, define, and scope use cases that drive productivity are essential.

What is the employment type for this position?

This is a full-time position.

What makes a strong candidate for the AI Enablement Engineer role at Pryon?

Candidates with 3+ years in software engineering or applied AI, proficiency in Python/JavaScript, hands-on AI/ML experience, and strong problem-solving skills to scope high-impact use cases will stand out.

Pryon

AI platform for enhancing information access

About Pryon

Pryon provides an AI-powered platform that helps organizations reduce "knowledge friction," which is the time employees waste searching for information across various formats and locations. The platform uses technologies like Computer Vision, Optical Character Recognition, and Large Language Models to read and understand content, creating a "Knowledge Fabric" that serves as a reliable source of information. This allows employees to quickly access the data they need, improving productivity and operational efficiency. Pryon operates on a subscription-based model, charging clients based on the number of users and data processed, which ensures a steady revenue stream. The goal of Pryon is to streamline information access within organizations, enabling employees to focus on problem-solving rather than searching for information.

Raleigh, North CarolinaHeadquarters

2017Year Founded

$132.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Rapid AI advancements could render Pryon's technology outdated without continuous innovation.

Reliance on Oracle Cloud Infrastructure poses risks if service agreements change.

Complex enterprise content challenges the accuracy of Pryon's Retrieval-Augmented Generation solutions.

Differentiation

Pryon transforms unstructured data into machine-readable formats with its Ingestion Engine.

The company offers a no-code AI platform, minimizing operational disruptions for clients.

Pryon's Retrieval Engine provides secure, scalable RAG solutions for complex enterprise content.

Upsides

Pryon's partnership with Carahsoft opens new revenue streams in the public sector.

Inclusion in the 2024 CB Insights AI 100 list boosts Pryon's visibility and investor appeal.

Oracle Cloud Infrastructure selection is expected to double Pryon's AI research productivity.

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