AI Enablement Engineer

Revalize • Remote, REMOTE

2d

About The Position

The AI Enablement Engineer helps build, deploy, and support production AI tools, agents, and workflows used across Revalize. Working with business stakeholders and senior engineers, the role translates business needs into secure, reliable, and scalable solutions that integrate with enterprise platforms such as Salesforce and Microsoft 365. With guidance from more experienced team members, the engineer contributes throughout the solution lifecycle, including scoping, development, launch, monitoring, user support, documentation, and continuous improvement. The role is suited to someone developing software engineering and applied AI skills who takes a practical approach and communicates clearly with technical and non-technical stakeholders.

The position is full-time and bonus eligible. Standard working hours are 8:00 a.m. to 5:00 p.m. Eastern Time for U.S.-based employees and 08:00 to 17:00 Central European Time for employees in EMEA. Qualified applicants will complete a 30-minute online assessment. Compensation depends on factors including experience, education, training, skills, responsibilities, and work location; no salary range is provided here.

Requirements

• At least 1 year building software; internships, academic projects, and professional projects count.
• Some exposure to LLM or generative AI features beyond simple prototypes.
• Working knowledge of Python.
• 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, and prompt design, and judgment about when outputs need human review.
• Ability to make progress in ambiguous situations and ask questions rather than wait for complete specifications.
• Clear communication with non-technical colleagues and ability to write usable documentation.

Nice To Haves

• Relevant AWS or Azure certifications.
• Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration.
• Exposure to predictive machine learning, such as scoring or classification, or to 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.

Responsibilities

• Help build and ship AI-powered tools and agents, including tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces.
• Help operate shipped systems by monitoring system health, investigating incidents, and supporting internal users with guidance from senior engineers.
• Contribute to integrations between AI systems and enterprise platforms such as CRM systems and Microsoft 365, using established authentication and permission models.
• Help develop LLM pipelines for retrieval, structured data extraction, scoring logic, prompt and tool design, and validation of outputs before they interact with business systems.
• Use AI coding tools as a core working method and review and govern their output to production quality.
• Follow security-first practices, including least-privilege access, service accounts, and audit logging.
• Work with business stakeholders to understand requests and turn ambiguous asks into shippable tools.
• Help internal users adopt AI tooling by answering questions, running short enablement sessions, and evaluating emerging tools.
• Write documentation while building, including runbooks and decision notes that help others operate the solutions.

Benefits

• Paid time off, sick leave, and parental leave for full-time employees working 30 or more hours.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• 401(k) plan.
• Health Savings Account.
• Life insurance.
• Employee Assistance Program.
• Bonus eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed