### **Intro description:** Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages over $1.7 billion for endowments, foundations, and family offices. _Summary_ Legalist is looking for an AI Native Engineer to join our team and work directly with our Co-founder to build AI-powered products and workflows.
This is a hands-on, execution-focused role for someone who has a track record of building across a variety of projects and is already using AI as a core part of how they develop software. Our ideal candidate operates in a fast-paced environment and can take a business problem or idea, figure out the technical approach, build a solution, and iterate quickly. _Responsibilities_ - Design and build new AI products, tools, and features - Build applications using LLMs and foundation model APIs - Develop AI agents and multi-step workflows that connect models with internal and external systems - Build integrations with third-party APIs, internal data sources, and existing software - Design and implement RAG pipelines, including retrieval, embeddings, vector search, and context management - Build backend services and APIs to support AI applications - Prototype new ideas quickly, thoroughly test them, and turn successful prototypes into production-ready tools - Evaluate models and approaches based on accuracy, latency, cost, and reliability - Build evaluations and testing processes to measure and improve model outputs - Stay current on new models, developer tools, frameworks, and AI capabilities _Qualifications _ - 3+ years of professional software development experience - Hands-on experience building applications with LLM APIs such as OpenAI, Anthropic, or similar - Experience building AI agents, tool-calling workflows, or other agentic systems - Strong understanding of APIs, backend development, databases, and cloud infrastructure - Experience taking software from prototype through production - Experience working with financial, legal, or other complex datasets - Familiarity with prompt design, context management, model evaluation, and techniques for improving LLM reliability - Experience working across a variety of technical projects, ideally for multiple companies or clients - Comfortable working independently and figuring things out without a detailed set of requirements - Local to New York City and excited about the opportunity to have regular in-person working sessions
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