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Senior Agentic AI Engineer

Full-Time · SeniorWashington, DC / Remote (US)

Mission

You'll architect the autonomous agents that power our intelligence platform-forensic analysis systems that operate across billions of legal relationships to identify the structural vulnerabilities that determine case outcomes.Build the AI that gives litigators an unfair advantage.

Ready to Apply?

Remote-friendly team based in the Washington, DC metro area
Competitive salary, equity, and performance bonus
Comprehensive health coverage and flexible time off
Backed by elite investors and trusted by AmLaw 100 firms
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Ex Parte is an equal opportunity employer.

What You'll Build

Agentic Workflows

  • Build autonomous workflows in n8n that query our Databricks Lakehouse, call LLM services, and validate findings against primary source documents
  • Design self-correcting loops to detect hallucinations, dead-ends, and infinite reasoning loops, and recover gracefully
  • Turn fragile prompts into robust, observable production systems processing thousands of legal documents daily

Intelligence Extraction

  • Agents that reconstruct examiner search logs from unstructured USPTO Office Actions
  • Systems that map prosecution history amendments across patent families to identify estoppel-creating arguments
  • Detection engines that find contradictions between complaint allegations and patent specifications
  • Validation agents that verify every finding against exact page and line citations in source documents

Production AI Systems

  • Deploy and monitor agentic workflows at scale
  • Build robust error handling and retry logic for unreliable external data sources (USPTO APIs, PACER)
  • Implement versioning, A/B testing, and observability for agent improvements
  • Work closely with product, data, and litigation experts to translate legal attack vectors into AI workflows

Requirements

  • 5+ years building production AI/ML systems (not just research prototypes)
  • Strong background in workflow orchestration (n8n, Airflow, Temporal, or similar); n8n familiarity is highly valued
  • Strong Python engineering skills with production-quality code standards
  • Deep understanding of LLM integration, prompt engineering, and RAG architectures
  • You treat prompt chains as code-versioned, tested, and reliable
Bonus
  • Experience with Databricks for data retrieval and processing
  • Familiarity with vector databases and semantic search systems
  • Prior work with legal, medical, or financial document analysis
  • Experience designing evaluation harnesses for LLM features

Compensation

  • Base salary: $160,000 - $220,000 (based on experience)
  • Stock Options
  • Performance bonus eligibility