Senior Fullstack Software Engineer, AI Observability & Evals Platform (NY)
Job description
About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
What You Will Do:
- Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
- Collaborate closely with product and design teams to iterate on new features.
- Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
- Lead by example in writing clean, maintainable, and well-tested code
What You Bring:
- 5+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
- Strong understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
- A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Strong ownership mindset
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $180,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Skills mentioned
LangChain is dedicated to empowering developers who are navigating the complexities of building with large language models (LLMs). Many developers and companies face significant hurdles when trying to move beyond simple API calls to create truly dynamic, production-ready AI applications. The challenges often lie in connecting LLMs to proprietary data sources, enabling them to interact with other tools, and managing the state of conversations, all while ensuring the final application is reliable and scalable. Customers need a streamlined way to build, debug, and deploy these sophisticated applications without getting bogged down in boilerplate code and complex integrations. To address these challenges, LangChain provides a comprehensive open-source framework and a suite of tools designed to simplify the entire AI engineering lifecycle. For developers struggling to make their LLMs context-aware, our framework offers robust components for retrieval augmented generation (RAG), allowing applications to ground their responses in specific, up-to-date information. We understand that building intelligent agents that can reason and take action is a critical goal for our users. That's why we developed LangGraph, a library for creating stateful, multi-actor applications. Furthermore, with LangSmith, we provide essential observability, tracing, and evaluation capabilities, giving developers the visibility they need to debug issues, monitor performance, and confidently ship reliable products. From startups to global enterprises, our customers choose LangChain to transform their innovative ideas into powerful, domain-specific copilots, efficient customer support bots, and intelligent enterprise solutions.
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