Artificial Intelligence Software Engineer, Legal Technology
Confidential
Posted: January 30, 2026
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Quick Summary
Collaborate with AI/ML engineers to develop innovative AI-driven solutions for eDiscovery, document review, and information-intensive workflows.
Required Skills
Job Description
Overview
The artificial intelligence field is evolving at an unprecedented pace. In just a few years, AI technologies – especially large language models (LLMs) and multi-agent systems – have become pervasive. TransPerfect Legal is expanding our AI capabilities to address our clients' needs in eDiscovery, document review, and information-intensive workflows by pioneering innovative AI-driven solutions that tackle complex business challenges head-on.
As part of the Legal Artificial Intelligence team (Legal AI), the Artificial Intelligence Software Engineer will collaborate with AI/ML engineers, product teams, and domain experts to design and implement production-grade product solutions that leverage state-of-the-art AI to satisfy the needs of our clients.
We are a small and nimble team seeking a highly skilled individual who will help with designing, building, and support AI-powered systems that span LLM use-cases, information retrieval, agentic workflows, and traditional machine learning strategies. Projects will include classification, information detection, extraction, categorization, and AI-assisted review tools to bring meaning and actionable insights across structured and unstructured data. This role requires strong experience in modern AI development, scalable infrastructure, and a passion for continued learning and applying cutting-edge methods to real-world legal technology challenges. Experience in eDiscovery is not required but strongly valued.
Description
• Design, develop, and deploy AI/ML solutions for legal technology applications, focusing on classification, categorization, information extraction, advanced search and retrieval, and workflow automation.
• Build modular, reusable, and well-tested components that integrate AI models into scalable systems.
• Leverage LLMs, traditional ML, databases, and agent-based frameworks and orchestration to build robust, scalable solutions for both structured and unstructured data (text, images, and other media).
• Develop APIs, microservices, and pipelines to integrate AI models and solutions into client-facing platforms.
• Collaborate with project managers, domain experts, and stakeholders to identify opportunities and translate them into effective AI solutions to meet business needs.
• Ensure quality, reproducibility, monitoring, and maintainability of deployed models and solutions.
• Provide technical support and collaborate with the Support team to troubleshoot, diagnose, and resolve production issues.
• Stay current on emerging AI techniques (LLMs, agentic frameworks, retrieval-augmented generation, multimodal AI) and recommend adoption where appropriate.
• Maintain existing codebases, contributing bug fixes, optimizations, and new features.
• Proactively suggest improvements to AI development workflows, processes, pipelines, and solution design.
• Write clear technical documentation on codebases, data models, APIs, processes, and contribute to client-facing user guides to ensure clarity, maintainability, and best practices.