Senior Engineer, Legal

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, construct, and implement AI-driven solutions that transform legal and compliance processes.

• Engage in discovery sessions with attorneys and compliance specialists to pinpoint automation prospects.

• Architect AI applications for tasks such as contract review, legal research, regulatory assessment, and compliance workflows.

• Create scalable systems for the ingestion, parsing, chunking, embedding, and indexing of legal content.

• Produce clean and well-tested code in Python and/or TypeScript for production-level applications.

• Leverage LLM APIs, orchestration frameworks, and CI/CD pipelines from initial prototype to deployment and monitoring.

• Construct automated evaluation pipelines, test sets, and quality metrics for legal AI outputs.

• Implement data security measures, access management, audit logging, PII redaction, and compliance with data residency requirements.

• Convert user requirements into product and technical specifications and prioritize feature development.

• Lead, educate, and mentor members of the legal team in developing no-code AI solutions.

• Act as the technical intermediary between legal and engineering teams.

• Conduct demonstrations and training sessions for legal users while providing insights for product development.

• Collaborate with IT and Data & AI teams to create scalable solutions that adhere to enterprise architecture and governance standards.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline.

• Over 5 years of professional experience in software engineering, data science, or machine learning engineering.

• Proven history of delivering production applications.

• Experience in production with large language models (LLMs), prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks.

• Strong programming skills in Python.

• Familiarity with AI/ML libraries and frameworks such as LangChain, LlamaIndex, or Hugging Face.

• Experience with modern AI infrastructure, vector databases, cloud services, API design, and containerized deployments using Docker or Kubernetes.

• Proficient in designing data pipelines and document processing systems for large-scale unstructured content, including parsing, OCR, entity extraction, and classification.

• Demonstrated interest or experience in legal, compliance, or regulatory fields.

• Willingness to travel 10–25% for meetings and conferences.

🏝️ Benefits

• Comprehensive benefits programs.

• Paid time off.

• Medical, dental, and vision insurance.

• 401(k) plan for eligible employees.

• Eligibility for bonus/incentive pay.

• Flexible remote work options.

• Reasonable accommodations for individuals with disabilities.