Legal Knowledge Engineer
New
United States, Eastern Time ZoneFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- Data AnalysisCross-functional collaborationPrompt EngineeringLLMGenerative AI
Requirements
- 3+ years commercial legal experience (law firm, in-house, or legal service provider).
- Admission to and in good standing with the bar of at least one U.S. state or Canadian province/territory.
- Extensive experience reviewing, drafting, and negotiating commercial contracts.
- Experience with prompt engineering, including designing, refining, and validating LLM prompts.
- Demonstrated ability to contribute to cross-functional initiatives spanning legal, product, and technical teams.
- Experience working with distributed, global teams.
- Strong written and verbal communication skills.
- Ability to maintain substantial overlap with Eastern Time Zone working hours.
Responsibilities
- Apply legal expertise and AI/Generative AI experience (Agentic AI experience is a plus) to propel execution of Agiloft’s AI product roadmap.
- Collaborate cross-functionally with Product, Data Science, MLOps, and Engineering teams to shape AI-driven solutions.
- Design and refine prompts and related inputs to enable extraction of complex concepts across a range of agreement types.
- Optimize AI performance across use cases through prompt/context engineering and iterative refinement.
- Contribute to the development and refinement of pretrained AI models for contract analysis and related use cases.
- Conduct structured evaluation and validation of AI outputs to ensure accuracy, consistency, and reliability.
- Collect and curate high-quality document datasets for AI training and evaluation from public and internal sources.
- Ensure product features are designed with legal professionals and real-world use cases in mind.
- Partner with technical writers to create internal design documentation and external customer-facing materials.
- Translate legal expertise into clear, actionable requirements for cross-functional project teams.
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