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Revalize

AI Enablement Engineer

Revalize

. Build and ship AI-powered tools and agents, including tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces .

Posted 11/6/2026full-timeRemote • United StatesJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building AI-powered tools and integrations, with strong skills in Python, REST APIs, and cloud platforms like AWS or Azure. Capable of developing LLM pipelines and applying security-first practices while effectively communicating with stakeholders and documenting solutions.

Highest-signal resume keywords
Python ProgrammingLLM Pipeline DevelopmentREST API IntegrationAWS/Azure ExperienceWorkflow Automation Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingLLM Pipeline DevelopmentREST API IntegrationLLM Tool-CallingStructured Data ExtractionPrompt DesignSecurity-First PracticesDocumentation WritingFrontend FrameworksCloud Computing
Soft Skills
Clear CommunicationProblem-SolvingAdaptabilityCollaborationUser Support
Tools & Technologies
SalesforceMicrosoft 365N8nPower AutomateAnthropic/Claude EcosystemMCP ServersMicrosoft GraphEntra ID
Certifications & Qualifications
Related Cloud Certifications
Industry Keywords
Generative AIB2B Vertical SaaSManufacturingCPQ/PLMAI Systems Evaluation

Tech Stack

Tools & technologies
AWSAzureCloudPythonReactTypeScript

About the role

Key responsibilities & impact
  • 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
  • Develop LLM pipelines involving retrieval, structured data extraction, scoring logic, prompt and tool design, and output validation
  • Use AI coding tools and review and govern 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 short enablement sessions, and evaluating emerging tools
  • Write runbooks and decision notes to document solutions and enable ongoing operation
  • Contribute across the solution lifecycle from scoping and development through launch, monitoring, user support, documentation, and continuous improvement

Requirements

What you’ll need
  • 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 LLM fundamentals: RAG, embeddings, structured extraction, prompt design, and judgment about when outputs need human review
  • Ability to make progress in ambiguous situations and ask good questions
  • Clear communication with non-technical colleagues
  • Ability to write usable documentation
  • Related cloud certifications are a plus
  • Nice to have: experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration
  • Nice to have: exposure to predictive ML or evaluation design for AI systems
  • Nice to have: Salesforce API and data-model experience; Microsoft Graph or Entra ID experience
  • Nice to have: manufacturing, CPQ/PLM, or B2B vertical SaaS domain exposure
  • Nice to have: experience supporting or training end users on technical tools
  • Qualified applicants must complete a 30-minute online assessment
  • Work within standard working hours of 8:00 am to 5:00 pm Eastern Time for employees based in the United States, or 08:00 to 17:00 Central European Time for employees operating within the EMEA region

Benefits

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