Broadfield UK→
Artificial Intelligence Engineer at Broadfield UK in New York, NY
Entry LevelOn-siteNew York, NY$150k–$150k/yr
Skills
legal ai tools harveylegal ai tools legoralegal ai toolslegal ai tools equivalentllm apis anthropic claudellm apis openaillm apisllm apis equivalentrag pipeline design and implementationembedding modelsretrieval optimizationworkflow automation frameworks langchainworkflow automation frameworks llamaindexworkflow automation frameworksworkflow automation frameworks equivalentunstructured legal document structuringprompt engineeringapi usagejsonpython scripting
Job Description
Summary: Broadfield is a global law firm specializing in transactions and litigation, and they are seeking a Legal AI Engineer to develop AI-powered workflows for their attorneys. This role will involve mapping legal frameworks, building custom workflows, and establishing quality standards for AI outputs.
Responsibilities:
- Map and structure the firm's playbooks, litigation frameworks, and due diligence processes into reusable knowledge assets
- Build custom workflows, in particular for document-intensive work across practices — from due diligence automation and playbook-based markup review on the transactional side, to discovery analysis, case chronologies, and brief research on the litigation side
- Design the RAG architecture that grounds AI outputs in the firm's proprietary precedents, deal data, and case materials
- Establish the prompt architecture library, guardrails, and quality standards that every subsequent build will draw from, and collaborate with attorneys to define what constitutes good output
Required Qualifications:
- Hands-on experience building with legal AI tools (Harvey, Legora, or equivalent) or LLM APIs (Anthropic Claude, OpenAI, or equivalent)
- Experience designing and implementing RAG pipelines — chunking strategies, embedding models, and retrieval optimization
- Familiarity with workflow automation frameworks (LangChain, LlamaIndex, or equivalent) for multi-step AI pipeline construction
- Ability to translate unstructured legal documents into structured, machine-readable knowledge assets
- Proficiency with prompt engineering at a production level — system prompt architecture, guardrails, output schema design, edge case handling
- Comfort working with APIs, JSON, Python, or equivalent scripting
- Builder instinct: you measure your tools' success by adoption, not by what you've shipped
- Speed and judgment: you know when to prototype fast and when to get it right
- Communication: you can explain what you built both to a partner and to a machine
- Ownership: you treat the legal operations system as yours
Preferred Qualifications:
- Experience in a law firm, legal tech company, or professional services firm
- Built AI-powered workflows
- Exposure to transactional or litigation workflows and data privacy, privilege, and confidentiality considerations in AI deployment
- Exceptional recent graduates with genuine technical depth and drive to build
Required Skills: Legal AI tools Harvey, Legal AI tools Legora, Legal AI tools, Legal AI tools equivalent, LLM APIs Anthropic Claude, LLM APIs OpenAI, LLM APIs, LLM APIs equivalent, RAG pipeline design and implementation, Embedding models, Retrieval optimization, Workflow automation frameworks LangChain, Workflow automation frameworks LlamaIndex, Workflow automation frameworks, Workflow automation frameworks equivalent, Unstructured legal document structuring, Prompt engineering, API usage, JSON, Python scripting