Senior AI Engineer: Build Production AI for Legal Tech

Sweet James LLP

Newport Beach (CA)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Sweet James Accident Attorneys in Orange County, CA is pursuing an Senior AI Engineer to own AI features end to end, from learning workflows to shipping production capabilities that read documents, extract facts, and draft routine work for staff approval.

You will report to the Lead AI Engineer, build against an in-house AI stack, and deploy services to Azure while collaborating with case teams to ensure measurable, high-quality results.

Qualifications

  • 5+ years building production software.
  • 2+ years shipping LLM-powered features to real users.
  • Hands-on work with LLM APIs (Anthropic, OpenAI).
  • Strong Python or TypeScript/Node; SQL and Postgres; REST APIs and webhooks; Git, Docker; cloud deployment (Azure preferred).
  • Ability to explain technical work in plain language.

Responsibilities

  • Build: Ship production AI features including structured extraction, classification, routing, and agents.
  • Integrate: Connect features to firm systems (Salesforce/Litify, Microsoft Graph, Outlook, SharePoint, Zoom, Twilio, Retell, DocuSign).
  • Measure: Create evaluation sets and tests for changes to track accuracy, cost, and speed.
  • Run: Deploy services as containers on Azure, monitor and fix issues.
  • Learn and train: Engage with intake, case management, records, and litigation staff to automate workflows.
  • Document: Record how systems work so others can operate them.

Skills

Production software
LLM features
Ownership
LLM APIs
Python/TypeScript
SQL / Postgres
REST APIs
Git
Docker
Azure

Job description

Sweet James Accident Attorneys in Orange County, CA is pursuing an Senior AI Engineer to own AI features end to end, from learning workflows to shipping production capabilities that read documents, extract facts, and draft routine work for staff approval.

You will report to the Lead AI Engineer, build against an in-house AI stack, and deploy services to Azure while collaborating with case teams to ensure measurable, high-quality results.

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