Lead · Гибрид · Сан-Франциско, США · Английский B2
Навыки
Распределённые системы
Лидерство
Machine Learning
Notion
Ответственность за результат
Роадмап
Маршрутизация и NAT
О компании и продукте
Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.
The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.
Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.
Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.
Задачи
Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products
Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context
Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively
Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products
Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate
Требования
8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams
Experience building and shipping multi-model or multi-provider AI systems in production
Familiarity with context management, session state, or memory systems in AI or distributed systems
You’ve thought about what the model sees and why it matters
A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability
Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally
Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real
A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems
Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly
COMPENSATION RANGE
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU
YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come
This is a rare chance to help build a generational company at a true inflection point
We have strong product-market fit and world-class investor support
We’re scaling fast and defining a new category in real time
The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence
We live by three values: Decisiveness, Simplicity, and Job's Not Finished
Условия
231,000 - $340,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 25 дней назад
Среди похожихдольше 81%сравнение с 107 вакансиями той же роли и грейда
Долго открыта
Вакансия висит дольше 81% похожих вакансий. Это не значит, что она закрыта, но откликаться стоит с этой оговоркой.
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдLeadвычитано из текста вакансии
Формат работыГибрид
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата231 000 — 340 000 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Свежесть19свежее 19% похожих вакансий
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
2
Посмотреть публикации и даты
ashbyОсновная публикация · 2026-04-24
ashbyПовторная публикация · 2026-07-16
H
Работодатель
Harvey
50 активных вакансий · вилка работодателя указана в 61%