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Senior Legal Tech & AI Integration Engineer / Contract / Remote

Remote in Remote, TX, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

On-site

$83.87 - $86.67/hr

Fitment

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Job Details

Skills

Software Development
Real-time
FOCUS
Harvest
Finance
Professional Services
Billing
Fluency
Python
SOQL
SOSL
Workflow
Data Structure
API
Servers
JIRA
Sprint
Artificial Intelligence
SaaS
Slack
Atlassian
Snow Flake Schema
Salesforce.com
Sales
Cloud Computing
Contract Lifecycle Management
Workday
Legal
Node.js
TypeScript
Docker
Microsoft Certified Professional
GitHub

Summary

Our client, a leader in SaaS software development, is seeking a contract Senior Legal Tech & AI Integration Engineer. This is a 100% remote role.

We are looking for a Senior Integration Engineer to architect the next generation of our Legal Operations ecosystem. This role is at the intersection of Enterprise SaaS and Agentic AI. You will be responsible for moving beyond static data syncing to creating a dynamic, real-time context layer for our Legal AI tools using the Model Context Protocol (MCP).
Your primary focus will be to harvest contextualized data records coming from our systems and applications and integrate into a common platform for legal analysis and insights.
This position reports to our Director, Finance & Legal Systems, and is a critical hire as we modernize our professional services billing lifecycle.

Contract duration: 6 months (+extensions)

Required skills:
Required Technical Profile

Deep Integration Expertise: Advanced knowledge of REST APIs, Webhooks, and Event-Driven Architecture.
AI Protocol Fluency: Hands-on experience (or deep technical understanding) of the Model Context Protocol (MCP) and its implementation (TypeScript/Python SDKs).
SaaS Ecosystem Knowledge: * Salesforce: Ability to write SOQL/SOSL and navigate complex custom objects.
- Ironclad: Experience with the Ironclad API and Workflow Designer data structures.
- Gong/ZoomInfo: Experience extracting intent signals and firmographic data via API.
Modern Dev Stack: Proficiency in TypeScript or Node.js (standard for MCP servers) and experience with Jira for sprint-based delivery.

Technical Stack

AI/Protocol: Google Gemini for LLM, Agent Space, Claude (Cowork and Code), Model Context Protocol (MCP), Harvey AI.
SaaS:
- Enterprise tools: Slack, GSuite, Atlassian Suite, Snowflake, Databrics
- Sales tools:, Salesforce (CPQ/Sales Cloud), Ironclad CLM, Gong, ZoomInfo, Zip, Workday
- Legal tools: Harvey, SimpleLegal, Logikcull, Airtable,
Infrastructure: Node.js/TypeScript, Docker (for MCP server deployment), GitHub.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 877413
Posted 2 hours ago

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