AI Enablement Engineer

Location: Remote, United States. Standard working hours are 8:00 am to 5:00 pm Eastern Time for employees based in the United States and 08:00 to 17:00 Central European Time for employees operating within the EMEA region.

Company

hirify.global develops CPQ, PLM, and design solutions for manufacturing businesses, serving more than 16,000 global customers.

What you will do

• Build and ship AI-powered tools, agents, backend services, API integrations, workflows, and lightweight user interfaces.
• Monitor production system health, investigate incidents, support internal users, and document systems with runbooks and decision notes.
• Integrate AI systems with enterprise platforms such as Salesforce and Microsoft 365 using established authentication and permission models.
• Develop LLM pipelines for retrieval, structured data extraction, scoring, prompt and tool design, and output validation before business-system use.
• Apply security-first practices including least-privilege access, service accounts, and audit logging.
• Work with business stakeholders, support AI-tool adoption, run short enablement sessions, and evaluate emerging tools.

Requirements

• At least 1 year of software-building experience; internships, academic projects, and professional projects count. Some exposure to LLM or generative AI features beyond simple prototypes is required.
• Working Python skills, familiarity with REST APIs, and some exposure to a modern frontend framework such as React with TypeScript.
• At least 1 year of experience with AWS and/or Azure.
• Experience with LLM tool-calling or agent frameworks and workflow or automation platforms such as n8n or Power Automate.
• Understanding of LLM fundamentals including RAG, embeddings, structured extraction, prompt design, and deciding when outputs require human review.
• Ability to make progress in ambiguous situations, ask effective questions, and communicate clearly with non-technical colleagues.
• Ability to write practical documentation that others can use.

Nice to have

• Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration.
• Exposure to predictive ML, including scoring and classification, or evaluation design for AI systems.
• Salesforce API and data-model experience; Microsoft Graph or Entra ID experience.
• Manufacturing, CPQ/PLM, or B2B vertical SaaS domain exposure.
• Experience supporting or training end users on technical tools.

Culture & Benefits

• Full-time, bonus-eligible employment with standard working hours defined by work location.
• Full-time employees working 30 or more hours are eligible for PTO, sick and parental leave.
• Benefits include medical, dental, and vision insurance; a 401(k) plan; HSA; life insurance; and an employee assistance program.
• Security-first, practical collaboration with business stakeholders and senior engineers, with guidance from experienced team members.

Hiring process

• Qualified applicants must complete a 30-minute online pre-employment assessment.