Jobs · Engineering

Senior Software Engineer - AI (Legal), CoCounsel FDE

Thomson Reuters · Eagan, MN · 4 mo ago
RemoteRemoteEngineering$118k/yrFull-time

About the role

In this opportunity as Senior Software Engineer - AI (Legal), you will:

  • Participate in high-value client engagements, guiding technical discovery, scoping legal use cases, and building credibility with legal and technical stakeholders.
  • Translate complex legal workflows, business pain points, and client goals into intelligent solution designs, technical specifications, and implementation plans.
  • Design and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis.
  • Build RAG pipelines, custom AI agents, and multi-step workflows that leverage CoCounsel, Westlaw, Practical Law, and related enterprise systems.
  • Lead LLM evaluation efforts for legal use cases, including benchmarking output quality, assessing hallucination risk, testing citation quality, and validating fitness for high-stakes legal work.
  • Ensure deployed solutions meet ethical AI, data protection, and enterprise security standards while maintaining the trust legal professionals expect.
  • Mentor junior engineers, contribute reusable solution assets, and evaluate emerging AI techniques to improve quality and delivery across the team.

Responsibilities

In this opportunity as Senior Software Engineer - AI (Legal), you will:

  • Participate in high-value client engagements, guiding technical discovery, scoping legal use cases, and building credibility with legal and technical stakeholders.
  • Translate complex legal workflows, business pain points, and client goals into intelligent solution designs, technical specifications, and implementation plans.
  • Design and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis.
  • Build RAG pipelines, custom AI agents, and multi-step workflows that leverage CoCounsel, Westlaw, Practical Law, and related enterprise systems.
  • Lead LLM evaluation efforts for legal use cases, including benchmarking output quality, assessing hallucination risk, testing citation quality, and validating fitness for high-stakes legal work.
  • Ensure deployed solutions meet ethical AI, data protection, and enterprise security standards while maintaining the trust legal professionals expect.
  • Mentor junior engineers, contribute reusable solution assets, and evaluate emerging AI techniques to improve quality and delivery across the team.

Requirements

You're a fit for the role of Senior Software Engineer - AI (Legal) if your background includes:

  • JD, formal legal training, or equivalent depth of experience working within a legal practice environment.
  • Fluency in legal terminology and demonstrated experience working directly with lawyers, legal teams, or legal operations stakeholders.
  • 5+ years of software engineering experience, including at least 2 years focused on AI/ML or LLM-powered applications.
  • Strong proficiency in Python and experience working with AI/ML frameworks and production-grade AI systems.
  • Strong understanding of machine learning concepts, LLM evaluation methodologies, prompt engineering, and AI system design for domain-specific workflows.
  • Experience building and integrating AI solutions into production environments using APIs, scalable pipelines, and modern cloud-based tools.
  • Excellent communication skills and comfort working independently in ambiguous, client-facing settings with both legal and technical stakeholders.

Qualifications

You're a fit for the role of Senior Software Engineer - AI (Legal) if your background includes:

  • JD, formal legal training, or equivalent depth of experience working within a legal practice environment.
  • Fluency in legal terminology and demonstrated experience working directly with lawyers, legal teams, or legal operations stakeholders.
  • 5+ years of software engineering experience, including at least 2 years focused on AI/ML or LLM-powered applications.
  • Strong proficiency in Python and experience working with AI/ML frameworks and production-grade AI systems.
  • Strong understanding of machine learning concepts, LLM evaluation methodologies, prompt engineering, and AI system design for domain-specific workflows.
  • Experience building and integrating AI solutions into production environments using APIs, scalable pipelines, and modern cloud-based tools.
  • Excellent communication skills and comfort working independently in ambiguous, client-facing settings with both legal and technical stakeholders.

Skills

You're a fit for the role of Senior Software Engineer - AI (Legal) if your background includes:

  • JD, formal legal training, or equivalent depth of experience working within a legal practice environment.
  • Fluency in legal terminology and demonstrated experience working directly with lawyers, legal teams, or legal operations stakeholders.
  • 5+ years of software engineering experience, including at least 2 years focused on AI/ML or LLM-powered applications.
  • Strong proficiency in Python and experience working with AI/ML frameworks and production-grade AI systems.
  • Strong understanding of machine learning concepts, LLM evaluation methodologies, prompt engineering, and AI system design for domain-specific workflows.
  • Experience building and integrating AI solutions into production environments using APIs, scalable pipelines, and modern cloud-based tools.
  • Excellent communication skills and comfort working independently in ambiguous, client-facing settings with both legal and technical stakeholders.

Benefits

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Pay

The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity.

Schedule

Not specified.

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