Note: The job is a remote job and is open to candidates in USA. Revalize provides AI-forward manufacturing technology solutions, including CPQ, PLM, and design products. The AI Enablement Engineer will help build, deploy, and support secure, scalable production AI tools, agents, and workflows integrated with enterprise platforms such as Salesforce and Microsoft 365. The role spans development, monitoring, user support, documentation, stakeholder collaboration, and continuous improvement with guidance from senior engineers.
Responsibilities
- Help build and ship AI-powered tools and agents: tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces
- Help operate what you ship: 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 CRM (e.g. Salesforce) and Microsoft 365, working within established auth and permission models
- Help develop LLM pipelines: retrieval, structured data extraction, scoring logic, prompt and tool design, and validation of outputs before they touch business systems
- Use AI coding tools as a core working method, reviewing and governing their output to production quality
- Follow security-first practices: least-privilege access, service accounts, and audit logging
- Work with business stakeholders to understand requests and help turn ambiguous asks into shippable tools
- Help internal users adopt AI tooling: answer questions, run short enablement sessions, and evaluate new tools as they emerge
- Write documentation as you build - runbooks and decision notes that let others operate what you made
Skills
- 1+ years building software (internships, academic, or professional projects count), with some exposure to LLM/generative AI features beyond simple prototypes
- Working Python skills; familiarity with REST APIs and some exposure to a modern frontend framework (e.g. React with TypeScript)
- 1+ years of experience with AWS and/or Azure (related certifications a plus)
- Experience in LLM tool-calling or agent frameworks, and workflow/automation platforms (e.g. n8n, Power Automate, or similar)
- Understanding of LLM fundamentals: RAG, embeddings, structured extraction, prompt design, and judgment about when outputs need human review
- Eager to make progress in ambiguous situations and asks good questions rather than waiting for complete specs
- Communicates clearly with non-technical colleagues; writes documentation others can actually use
- Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration
- Exposure to predictive ML (scoring, 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
Benefits
- Bonus eligibility for this full-time position
- All full-time (30+ hours) employees are eligible for PTO, Sick and Parental Leave
- Medical, Dental, and Vision Insurance for all full-time (30+ hours) employees
- 401(k) Plan for all full-time (30+ hours) employees
- Health Savings Account for all full-time (30+ hours) employees
- Life Insurance for all full-time (30+ hours) employees
- Employee Assistance Program for all full-time (30+ hours) employees
- Remote work
Company Overview
Company H1B Sponsorship