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Remote, mid-level AI title attracts many applicants, though legal/LLM specialization narrows the pool.
Requires legal-domain experience and ML specialization, making cross-industry transferability limited.
Explicit 5+ years plus required LLM, vector DB, cloud, and legal experience enforces strict screening.
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Design, build, and deploy enterprise-scale AI-powered legal and compliance workflow automation solutions using LLMs, agentic AI, and modern AI infrastructure.
Partner closely with legal stakeholders to identify automation opportunities and translate workflows into trusted, production-grade AI applications with secure and compliant data handling.
Lead technical mentorship and cross-functional collaboration; develop evaluation frameworks and ensure AI solutions meet quality, governance, and adoption standards.
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; Master's or advanced degree is a plus.
5+ years professional experience in software engineering, data science, or ML engineering with production application delivery.
Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG architectures), Python programming, AI/ML orchestration tools (e.g., LangChain, LlamaIndex).
Demonstrated interest or experience in legal, compliance, or regulatory domains (e.g., legal tech, contract analytics, law coursework, or JD).
Strong interdisciplinary expertise combining AI/ML engineering with understanding of legal or compliance workflows in complex organizations.
Experienced in building scalable AI infrastructure including document processing, vector databases, cloud deployment, and operating production systems.
Able to bridge technical and legal teams effectively; provides technical leadership and fosters adoption of AI solutions in regulated enterprise environments.