AI Tools & Workflows Engineer

Revalize, Inc; Reston (VA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

PTO

Sick and Parental Leave

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Health Savings Account

Life Insurance

Employee Assistance Program

Job summary

Revalize, Inc. is seeking an AIEnablement Engineer to build and deploy production AI tools and workflows across the organization.

You will translate business needs into secure, scalable solutions that integrate with enterprise platforms such as Salesforce and Microsoft 365, from scoping to launch and support. The role strengthens software engineering and applied AI skills, with opportunities to contribute across the full solution lifecycle.

Qualifications

• 1+ years building software (internships, academic, or professional projects count).
• Experience with LLM/generative AI features beyond prototypes.
• Proficient in Python; comfortable with REST APIs and React/TypeScript.
• 1+ years of experience with AWS or Azure; related certifications are a plus.
• Experience with LLM tool-calling or agent frameworks and automation platforms.

Responsibilities

• Build and ship AI-powered tools, agents, and integrations.
• Operate what you ship: monitor health, investigate incidents, support internal users.
• Integrate AI systems with CRM (e.g., Salesforce) and Microsoft 365 within auth models.
• Develop LLM pipelines: retrieval, structured extraction, and prompt design.
• Review AI tooling outputs for production quality and enforce security practices.

Skills

Python

REST APIs

React/TypeScript

AWS/Azure

LLM tools

Agent frameworks

Security practices

Communication

Tools

Salesforce

Microsoft 365

Job description

Revalize, Inc. is seeking an AIEnablement Engineer to build and deploy production AI tools and workflows across the organization.

You will translate business needs into secure, scalable solutions that integrate with enterprise platforms such as Salesforce and Microsoft 365, from scoping to launch and support. The role strengthens software engineering and applied AI skills, with opportunities to contribute across the full solution lifecycle.