Remote opportunity at
RevalizeAI Enablement Engineer
Revalize is seeking an AI Enablement Engineer to join the team on a full-time, remote basis. Founded in 2021, Revalize supports manufacturing companies with design, modeling,…
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About This Role
Revalize is seeking an AI Enablement Engineer to join the team on a full-time, remote basis. Founded in 2021, Revalize supports manufacturing companies with design, modeling, development, and selling tools, utilizing an AI-focused approach across CPQ, PLM, and design solutions. The company serves over 16,000 customers globally and operates as a portfolio company of Hg and TA Associates. In this role, the engineer helps construct, deploy, and maintain production-level artificial…
Job Description
Revalize is seeking an AI Enablement Engineer to join the team on a full-time, remote basis. Founded in 2021, Revalize supports manufacturing companies with design, modeling, development, and selling tools, utilizing an AI-focused approach across CPQ, PLM, and design solutions. The company serves over 16,000 customers globally and operates as a portfolio company of Hg and TA Associates.
In this role, the engineer helps construct, deploy, and maintain production-level artificial intelligence workflows, tools, and agents utilized throughout Revalize. Working alongside experienced engineers and business stakeholders, the position translates organizational needs into reliable, secure, and scalable solutions integrated with platforms like Microsoft 365 and Salesforce. Team members contribute across the entire solution lifecycle, from initial scoping and development to user assistance, monitoring, and continuous enhancement. This role suits individuals building applied artificial intelligence and software engineering expertise who maintain a practical mindset and communicate effectively with both technical and non-technical audiences.
Responsibilities
- Develop and deploy agent workflows, API integrations, backend services, and lightweight user-facing interfaces for artificial intelligence tools
- Monitor system health, investigate operational incidents, and assist internal users with guidance from senior engineers
- Integrate artificial intelligence systems with enterprise software including CRM platforms and Microsoft 365
- Create large language model pipelines covering retrieval, structured data extraction, prompt design, and output validation
- Utilize artificial intelligence coding utilities as a primary working method while governing and reviewing output to production standards
- Apply security practices such as service accounts, least-privilege access, and audit logging
- Collaborate with business stakeholders to transform ambiguous requests into operational tools
- Facilitate internal user adoption through support sessions, tool evaluations, and answering questions
- Produce documentation including runbooks and decision notes for operational continuity
Requirements
- Minimum of one year of software development experience from academic, internship, or professional settings, including exposure to generative artificial intelligence or large language model features
- Working proficiency in Python alongside familiarity with REST APIs and a modern frontend framework
- At least one year of hands-on experience with Microsoft Azure or AWS
- Familiarity with workflow automation platforms and large language model agent or tool-calling frameworks
- Comprehension of foundational artificial intelligence concepts including embeddings, retrieval-augmented generation, prompt design, and structured extraction
Qualifications
- Relevant certifications for AWS or Azure
- Familiarity with the Anthropic or Claude ecosystem, enterprise artificial intelligence platform administration, or MCP servers
- Exposure to predictive machine learning tasks such as classification or scoring, or evaluation design for artificial intelligence systems
- Background using Salesforce data models and APIs, or Microsoft Entra ID and Microsoft Graph
- Domain familiarity with B2B vertical SaaS, manufacturing, PLM, or CPQ software
- Prior experience training or supporting end users on technical tools
Core Skills
Benefits
- Paid time off, sick leave, and parental leave
- Medical, dental, and vision insurance
- 401(k) plan
- Health savings account
- Life insurance
- Employee assistance program
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that this is a remote, full-time role.
What are the working hours for this role?
Standard working hours are designated as 8:00 am to 5:00 pm Eastern Time for United States-based employees, and 08:00 to 17:00 Central European Time for those in the EMEA region.
What is the salary for the AI Enablement Engineer position?
The salary is not explicitly stated in the posting, though the role is bonus-eligible and part of a competitive total compensation package.
Is there an assessment required during the application process?
Yes, qualified applicants will be asked to complete a 30-minute online pre-employment assessment.
Sample Interview Questions
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