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FullStack Engineer, AI Observability & Evals Platform (LangSmith)
- United States
- United States
Über
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders. What you will do: Develop and implement key product features working across our entire Go, Python, and Typescript stack Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code How to be successful in this role: 2+ 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 Solid understanding of database systems, particularly Postgres and Redis Experience designing and scaling APIs, preferably in high-performance, data-intensive applications Strong ownership and a "get stuff done" mindset - 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 Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation: Annual salary range: $145,000-180,000 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 include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Sprachkenntnisse
- English
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