AI Enablement Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 10%

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Revalize

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🍽️ Food & Beverage

💼 Consulting

🏭 Manufacturing

💰 Private Equity Round on 2021-11

Food & Beverage • Consulting • Manufacturing

Revalize is a company that provides a comprehensive suite of Configure, Price, Quote (CPQ) and data analytics software solutions primarily for the food equipment and supplies (FES) industry. They offer a range of products under the AutoQuotes (AQ) brand, including AQ CPQ, AQ Design Solutions, AQ Insight Pro, AQ Pay, and AQ Products API. These tools help manufacturers, dealers, sales representatives, and consultants simplify their sales processes, improve collaboration, and increase efficiency. Revalize's solutions focus on data visualization, analytics, and multi-channel payment processing to enhance performance and productivity in managing quotes and sales for FES products.

📋 Description

• Build and ship AI-powered tools and agents, including tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces • Monitor system health, help investigate incidents, and support internal users with guidance from senior engineers • Contribute to integrations between AI systems and enterprise platforms such as Salesforce and Microsoft 365 • Work within established authentication and permission models • Help develop LLM pipelines involving retrieval, structured data extraction, scoring logic, prompt and tool design, and output validation • Use AI coding tools and review their output to production quality • Apply security-first practices, including least-privilege access, service accounts, and audit logging • Work with business stakeholders to turn ambiguous requests into shippable tools • Help internal users adopt AI tooling by answering questions, running enablement sessions, and evaluating new tools • Write runbooks and decision notes for operating delivered solutions • Contribute across scoping, development, launch, monitoring, user support, documentation, and continuous improvement

🎯 Requirements

• 1+ years building software; internships, academic, or professional projects count • Some exposure to LLM/generative AI features beyond simple prototypes • Working Python skills • Familiarity with REST APIs • Some exposure to a modern frontend framework, such as React with TypeScript • 1+ years of experience with AWS and/or Azure • Experience in LLM tool-calling or agent frameworks • Experience with workflow/automation platforms such as n8n or Power Automate • Understanding of RAG, embeddings, structured extraction, prompt design, and when outputs need human review • Ability to progress in ambiguous situations and ask good questions • Clear communication with non-technical colleagues • Ability to write usable documentation • Related AWS or Azure certifications are a plus • Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration is nice to have • Exposure to predictive ML or evaluation design for AI systems is nice to have • Salesforce API and data-model experience is nice to have • Microsoft Graph or Entra ID experience is nice to have • Manufacturing, CPQ/PLM, or B2B vertical SaaS domain exposure is nice to have • Experience supporting or training end users on technical tools is nice to have • Qualified applicants must complete a 30-minute online assessment • U.S.-based employees operate during standard working hours of 8:00 am to 5:00 pm Eastern Time

🏖️ Benefits

• PTO • Sick Leave • Parental Leave • Medical Insurance • Dental Insurance • Vision Insurance • 401(k) Plan • Health Savings Account • Life Insurance • Employee Assistance Program • Bonus eligibility

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