Senior Software Engineer - AI (Legal), CoCounsel FDE

Thomson Reuters is hiring a Senior Software Engineer - AI (Legal) on their CoCounsel Forward Deployed Engineering team. In this role, you will collaborate with legal professionals and AI engineers to design and implement AI-powered solutions that enhance legal workflows and support law firms and corporate legal departments.

Responsibilities:

• 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:

• 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