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Overview: As Senior Legal Engineer you design, build, and deploy AI-enabled legal software on Thomson Reuters CoCounsel Forward Deployed team. You collaborate with legal customers and cross-functional partners to translate needs into scalable, secure cloud-native solutions. You assess AI/LLM outputs for legal accuracy and craft effective prompting strategies. You mentor junior engineers and maintain a focus on secure, reliable software while balancing technical debt. Compensation / Benefits Hybrid work model flexible vacation Mental Health Days off tuition reimbursement employee incentive programs Headspace app access
Responsibilities: Design, develop, test, and deploy end-to-end software for complex legal workflows and AI-enabled products Partner with legal customers to understand needs and translate requirements into scalable technical solutions Architect and build cloud-native systems using distributed services, microservices, APIs, containers, and orchestration technologies Develop production-grade Python software with strong security, testing, reliability, and maintainability practices Evaluate AI and LLM solutions for legal use cases, focusing on accuracy, relevance, reliability, and usability Design, iterate, and optimize advanced prompting strategies for legal-domain tasks Apply DevOps and Infrastructure as Code to enable secure, reliable deployments Manage technical debt while balancing delivery and long-term system health Mentor junior engineers through code reviews, technical guidance, and knowledge sharing Collaborate with engineering, product, legal, and design to prioritize work and improve the software development lifecycle
Key requirements: A JD, formal legal training, or equivalent depth of experience in a legal-practice environment Fluency in legal terminology and experience working with legal teams 5+ years of professional software engineering experience Strong proficiency in Python and building production-grade software Experience designing and delivering distributed systems, microservices, APIs, and cloud-native applications Strong knowledge of AI and LLM evaluation methodologies Advanced prompt-engineering skills for legal-domain use cases Experience evaluating AI outputs for legal accuracy, relevance, reliability, and safety Excellent written and verbal communication, able to engage with lawyers and engineers Comfort working independently in ambiguity and presenting in client workshops Collaborative, growth-oriented mindset with commitment to secure engineering, ethical AI, privacy, and confidentiality communication collaboration problem-solving Python distributed systems microservices

Also on the board Same function, level within a rung

Level

Lead

Location

Brooklyn, NY

Occupation

Software Developers

Industry

Software Publishers

Posted

today

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