
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.
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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.
• Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient. • Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams. • Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic • Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges • Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention
• hands-on experience designing and running data-intensive systems at scale • a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using • production experience with OSS datastores (PostgreSQL, Redis) • Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript • solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS) • hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar) • "you build it, you run it, you own it," with a focus on sustainable practices
• health and dental coverage • flexible vacation • 401(k) plan • life insurance
Apply Now🕒 May 22
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