AI Product Engineer building next - generation chatbot, voicebot, and workflow automation for Jerry.ai’s AI - powered insurance platform. Shipping LLM systems that manage customers’ physical assets.
About the role
- Senior Legal Engineer building production AI solutions for Danaher's legal and compliance workflows. Applying LLMs, RAG, and agentic AI across a global life sciences and biotechnology company.
Responsibilities
- Design, build, and deploy AI-powered solutions transforming legal and compliance workflows
- Conduct discovery with attorneys and compliance professionals to identify automation opportunities
- Architect AI applications for contract review, legal research, regulatory analysis, and compliance workflows
- Develop scalable ingestion, parsing, chunking, embedding, and indexing systems for legal content
- Write clean, well-tested Python and/or TypeScript code for production applications
- Use LLM APIs, orchestration frameworks, and CI/CD pipelines from prototype through deployment and monitoring
- 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 user needs into product and technical requirements and prioritize features
- Lead, educate, and mentor legal team members in developing no-code AI solutions
- Serve as the technical bridge between legal and engineering
- Deliver demos and training to legal users and channel insights into product development
- Partner with IT and Data & AI teams on scalable solutions aligned with enterprise architecture and governance standards
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field
- 5+ 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), 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
- Experience with modern AI infrastructure, vector databases, cloud platforms, API design, and containerized deployment using Docker or 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
- 10–25% travel for meetings and conferences
Benefits
- Comprehensive benefit programs
- Paid time off
- Medical, dental, and vision insurance
- 401(k) for eligible employees
- Bonus/incentive pay eligibility
- Flexible remote working arrangement
- Reasonable accommodation for individuals with disabilities
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