Senior Frontend Engineer, AI Observability – Evals Platform

🕒 October 8

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 21%

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Logo of LangChain

LangChain

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series A on 2024-02

Artificial Intelligence • B2B • SaaS

LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.

📋 Description

• Develop new user-facing features for LangSmith, LangChain's enterprise platform for LLM application observability, testing, and debugging • Build reusable components and front-end libraries for future use • Translate designs and wireframes into high-quality code • Optimize components for maximum performance across web-capable devices and browsers • Collaborate with fullstack and backend developers and UX/UI designers to enhance usability

🎯 Requirements

• Extensive front-end engineering experience • Strong proficiency in React, JavaScript, and TypeScript • Hands-on experience with Babel, Vite, Webpack, NPM, and Yarn • Familiarity with REST APIs • Experience working closely with fullstack and backend engineers • Knowledge of modern authorization mechanisms, such as JWTs • Strong written and oral communication skills • Ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders • Ability to thrive in a start-up, fast-paced environment • Ownership mindset and self-direction • Strong computer science fundamentals • Degree in computer science or a related field is ideal, not required

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US • Variable compensation for relevant roles • Meaningful equity • Perks

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