Senior Technical Support Engineer
Job Description
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We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms.
Key Responsibilities
- Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
- Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
- Partner with Deployed Engineering to support critical enterprise customers.
- Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
- Lead post-mortems for critical incidents and feed learnings back into product and documentation.
- Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
- Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
- Mentor and coach other support engineers.
How to be successful in this role
- 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
- Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
- Programming experience with Python. Bonus if you have TypeScript experience.
- Hands-on knowledge of Kubernetes and Docker.
- Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
- Experience supporting enterprise customers and collaborating with engineering on complex escalations.
- A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
- High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented.
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LangChain
View Company ProfileLangChain is a pioneering AI software company and the creator of the wildly popular open-source framework designed to simplify the creation of applications using large language models (LLMs). Founded in 2022, the company has rapidly become the foundational infrastructure layer for the generative AI boom. Under the hood, LangChain provides developers with highly modular components to chain together complex AI workflows—seamlessly connecting LLMs to external data sources, APIs, and long-term memory storage. Beyond their open-source roots, they offer LangSmith, a premium enterprise DevOps platform that allows engineering teams to debug, test, evaluate, and monitor their LLM applications in real-time. Their primary target audience consists of hardcore software engineers, AI researchers, and enterprise tech teams who need to build, deploy, and scale production-ready generative AI agents. What sets LangChain apart in the explosive AI developer ecosystem is its unparalleled community adoption and its ability to transform raw, unpredictable AI models into structured, highly reliable enterprise applications.
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