4 часа назад
AI & ML Engineer
225 000 - 300 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI & ML Engineer (Applied AI/Legaltech): Building production AI systems for legal workflows, including contract reasoning agents, retrieval systems, document understanding pipelines, and evaluation frameworks with an accent on trustworthy product engineering, workflow orchestration, and structured extraction. Focus on designing multi-step LLM systems, measuring quality and reliability, and integrating backend services, data pipelines, APIs, and product surfaces for legal teams.
Location: On-site in New York, New York, United States
Salary: $225K–$300K per year plus equity
Company
builds an AI-native operating system that helps in-house legal teams manage legal data, workflows, contracts, and business context.
What you will do
- Build production AI systems for contract review, redlining, legal intake, drafting, negotiation, search, and knowledge management.
- Develop retrieval and context systems that reason over contracts, playbooks, precedent, customer data, and business context.
- Build document parsing and understanding pipelines for extracting structure, entities, obligations, issues, and negotiation context.
- Develop agentic and workflow-based LLM systems for long-running, multi-step legal tasks.
- Create evaluation datasets, metrics, and feedback loops to measure quality, reliability, cost, and latency.
- Partner with lawyers, customers, engineers, and designers to translate legal expertise into product behavior and improvements.
Requirements
- 4+ years of experience as an AI engineer, ML engineer, full-stack engineer, product engineer, data scientist, or in a similar role.
- Experience shipping applied AI or LLM-powered products involving retrieval, agents, evaluations, document understanding, structured extraction, or workflow orchestration.
- Strong software engineering fundamentals across backend systems, data pipelines, APIs, and product-facing surfaces.
- Ability to own ambiguous technical and product problems from discovery through launch and iteration.
- Strong judgment regarding quality, latency, cost, reliability, observability, security, and UX trade-offs.
- Clear communication skills when explaining AI behavior and system trade-offs to technical and non-technical colleagues.
Nice to have
- Experience with legal, financial, enterprise SaaS, search, document AI, workflow automation, or other correctness-critical domains.
Culture & Benefits
- Health, dental, and vision insurance with a 401(k).
- 12 weeks of paid parental leave.
- Flexible time off with 20+ PTO days.
- Annual learning and development stipend.
- Technology stipend with unlimited spending on AI tooling.
- Daily lunch for in-office team members.
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