Senior AI Engineer, Legal

🔥 13 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Danaher Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.

📋 Description

• Design, build, and deploy AI-powered solutions transforming legal and compliance workflows • Partner with attorneys and compliance professionals to conduct discovery, identify automation opportunities, and deliver trusted solutions • Architect end-to-end AI applications for contract review, legal research, regulatory analysis, and compliance workflows • Develop document processing pipelines for legal content, including ingestion, parsing, chunking, embedding, and indexing • Write clean, well-tested Python and/or TypeScript code for production applications using LLM APIs and orchestration frameworks • Deploy, monitor, and improve production-grade AI features through CI/CD pipelines • Build automated evaluation pipelines, test sets, and quality metrics for legal AI outputs • Implement data security controls, access management, audit logging, PII redaction, and data residency compliance • Translate legal user needs into product and technical requirements and help prioritize features • Lead, educate, and mentor legal team members in developing no-code AI solutions • Serve as the technical bridge between legal and engineering teams • Deliver demos and training to legal users and channel user insights into product development and roadmap priorities • Partner with IT and Data & AI teams to deliver scalable solutions aligned with enterprise architecture and governance standards

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field • 10+ years of professional experience in software engineering, data science, or machine learning engineering • 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 • Experience with AI/ML libraries and frameworks such as LangChain, LlamaIndex, or Hugging Face, or equivalent orchestration tools • Experience with modern AI infrastructure, including vector databases such as Pinecone, Weaviate, or Qdrant • Experience with cloud platforms such as Azure, AWS, or GCP • Experience with API design and containerized deployment using Docker and Kubernetes • Experience designing data pipelines and document processing systems for unstructured content at scale, including parsing, OCR, entity extraction, and classification • Demonstrated interest or experience in legal, compliance, or regulatory domains • Ability to leverage AI development tools such as Claude Code, Cursor, or GitHub Copilot in production environments • Master's or advanced degree is a plus • Proficiency in TypeScript or Java is a plus • Experience building or deploying AI solutions in regulated industries is a plus • Experience with agentic AI patterns, including multi-step autonomous workflows, human-in-the-loop oversight, tool calling, MCP servers, and structured outputs is a plus • Experience with enterprise AI governance and responsible AI practices is a plus • 10–25% travel for meetings and conferences

🏖️ Benefits

• Comprehensive, competitive benefit programs • Health care program • Paid time off • Flexible, remote working arrangements for eligible roles • Remote work arrangement allowing work from home