Senior AI Engineer, Legal

🕒 Julho 7

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $185.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Danaher Corporation

Danaher Corporation

10.000+ funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A Danaher Corporation é uma empresa líder global em ciências da vida e diagnósticos, inovadora no desenvolvimento e fornecimento de instrumentos, tecnologias, software e serviços para acelerar a pesquisa científica, o desenvolvimento em biotecnologia e os diagnósticos clínicos. A empresa opera através de negócios focados em ferramentas de biotecnologia, plataformas de diagnósticos e produtos de ciências da vida, aproveitando o Sistema de Negócios Danaher e uma estratégia de aquisições para expandir tecnologias e apoiar clientes de universidades, empresas farmacêuticas e biotecnológicas, e laboratórios clínicos.

Descrição

• Partner with legal stakeholders to translate workflows into technical solutions. • Conduct discovery with attorneys and compliance professionals across Danaher to understand their workflows, identify automation opportunities, and deliver solutions that legal teams trust and adopt. • Architect and build AI-powered legal applications. • Design end-to-end solutions for contract review, legal research, regulatory analysis, and compliance workflows using LLMs, retrieval-augmented generation (RAG), and agentic AI frameworks. • Develop and optimize document processing pipelines. • Build scalable ingestion, parsing, chunking, embedding, and indexing systems for legal content (contracts, playbooks, regulatory filings) to power intelligent search and analysis. • Ship production-grade AI features. • Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), and CI/CD pipelines — from prototype through deployment and monitoring. • Design evaluation and quality framework. • Build automated evaluation pipelines, test sets, and quality metrics specific to legal AI outputs, ensuring accuracy, consistency, and defensibility of AI-generated work product. • Embed governance and security by design — Implement data security controls, access management, audit logging, PII redaction, and data residency compliance appropriate for applications handling privileged and confidential legal content. • Apply product thinking to legal AI solutions — Understand user needs through discovery and feedback, translate them into clear product and technical requirements, and help prioritize features that drive adoption and measurable business value. • Technical leadership and mentorship - Lead, educate and mentor legal team members in developing no-code AI solutions. • Serve as the technical bridge between legal and engineering. • Communicate clearly across disciplines, deliver demos and training to legal users, and channel user insights back into product development and roadmap priorities. • Partner closely with IT, Data & AI teams to design, build, and deliver scalable AI solutions aligned with enterprise architecture and governance standards.

🎯 Requisitos

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (Master's or advanced degree is a plus). • 5+ years of professional experience in software engineering, data science, or machine learning engineering, with a track record of shipping production applications. • Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. • Strong programming proficiency in Python, with experience in AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or equivalent orchestration tools); • proficiency in an additional language (TypeScript, Java) is a plus. • AI‑Assisted Software Development – Demonstrated proficiency leveraging AI development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate software solution development in production environments. • Hands-on experience with modern AI infrastructure, including vector databases (e.g., Pinecone, Weaviate, Qdrant), cloud platforms (Azure, AWS, or GCP), API design, and containerized deployment (Docker, Kubernetes). • Experience designing data pipelines and document processing systems for unstructured content at scale (parsing, OCR, entity extraction, classification). • Demonstrated interest or experience in legal, compliance, or regulatory domains — e.g., prior work in legal tech, contract analytics, regulatory technology, legal operations, paralegal experience, law school coursework, or JD.

🏖️ Benefícios

• Health insurance • Paid time off • 401(k)

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