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Senior Legal Tech & AI Integration Engineer / Contract / Remote
Job summary
Work model
Role Overview
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 Details
- Duration: 6 months (+extensions)
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, Databricks.
- 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.