Работа в LangChain — это возможность оказаться в эпицентре создания AI-агентов с четко определенной ролью и рыночной зарплатой. Единственный серьезный нюанс — строгий офис в Бостоне.
?Средняя зарплата
Современный стек
Трендовый домен
Стремительный рост
Понятный scope
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer (AI): Building backend services and APIs for LangSmith, an AI observability and evaluation platform, with an accent on high-throughput data systems, tracing, monitoring, and evaluation workflows. Focus on optimizing storage and query performance, designing reliable APIs, and solving complex production reliability and scalability challenges.
Location: Onsite in Boston, Massachusetts, United States
Annual salary: $180,000–$240,000
Company
LangChain builds open-source frameworks and platforms for building, evaluating, deploying, and operating AI agents at scale, including the LangSmith observability and evaluation platform.
What you will do
Design, develop, and maintain backend services and APIs for tracing, monitoring, and evaluation workflows.
Collaborate on architecture for performant and maintainable systems.
Optimize storage and query performance for high-volume observability and evaluation data.
Improve reliability through testing, monitoring, and alerting.
Troubleshoot production incidents, perform root-cause analysis, and implement long-term fixes.
Work with full-stack engineers, product managers, and product designers to launch new features.
Requirements
4+ years of professional backend engineering experience on highly complex products.
Proficiency in one or more backend languages or frameworks, ideally Python and/or Go.
Strong understanding of API design and reliable data services.
Experience with high-throughput, mission-critical systems and backend performance optimization.
Strong communication, cross-functional collaboration, customer centricity, and ownership.
Ability to work onsite in Boston, Massachusetts.
Nice to have
Experience with Postgres, Redis, ClickHouse, or cloud platforms such as AWS, GCP, or Azure.
Familiarity with full-stack or frontend engineering, performance tuning, and production debugging.
Culture & Benefits
Meaningful equity and variable compensation for relevant roles.
Medical, dental, and vision coverage.
Flexible vacation and a 401(k) plan.
Meals on in-office days in the United States.
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