GC AI - Member of Technical Staff, Applied AI

DeCircle

$150K — $180K *
Legal & Accounting
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience
  • 2+ years of experience focused on AI systems
  • Deep expertise in LLM implementation and optimization
  • Strong track record of building production AI systems at scale
  • Proven ability to lead technical initiatives and mentor engineers
  • Strong foundation in TypeScript and modern software architecture

Responsibilities

  • Lead the development of AI solutions tailored for the legal industry
  • Architect systems that leverage cutting-edge LLM technology
  • Collaborate closely with the CTO and founding data engineer
  • Drive innovation in AI applications for legal workflows
  • Mentor junior engineers and guide technical development

Benefits

  • Collaborative work environment with industry experts
  • Opportunity to impact the future of AI in legal tech
  • Access to modern AI frameworks and tools
  • Support for professional development and technical publications
  • Engagement in high-stakes projects in a growing sector
Full Job Description
About The Role

We're seeking an exceptional Member of Technical Staff, Applied AI to help lead the development of our cutting-edge AI platform. This is a unique opportunity to shape how artificial intelligence transforms legal work. You'll be the technical cornerstone of our AI initiatives, working directly with our CTO (ex-Replit) and founding data engineer (ex-Lyft, Instagram and Plaid) to architect systems that push the boundaries of what's possible with LLMs in the legal domain.

  • 5+ years of software engineering experience, with 2+ years focused on AI systems.
  • Deep expertise in LLM implementation and optimization.
  • Strong track record of building production AI systems at scale.
  • Experience with modern AI frameworks and tools.
  • Proven ability to lead technical initiatives and mentor engineers.
  • Strong foundation in TypeScript and modern software architecture.


Nice to Have
  • Experience with RAG systems and LLM evaluation.
  • Familiarity with legal domain or legal text processing.
  • Track record of technical publications or open-source contributions.
  • Experience with multi-agent AI systems.

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