EMEA AI Platform Support Engineer

LangChain, Inc.; Greater London; Remote; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and equity

Benefits and remote-friendly policies

Global scope with regional norms

Job summary

LangChain, Inc. is hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects.

You’ll diagnose production LLM issues, improve observability and evaluations, and help define world-class support for modern AI platforms. You will collaborate with engineering, operations, and product teams to resolve bugs, refine runbooks, and drive continuous improvement, while mentoring other engineers and shaping

Qualifications

• 4+ 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

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.

Skills

APIs

SDKs

Distributed systems

Cloud-native stacks

Python

TypeScript

Kubernetes

Docker

Logs traces metrics

Datadog

OpenTelemetry

LLM platforms

Tools

Kubernetes

Docker

Job description

LangChain, Inc. is hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects.

You’ll diagnose production LLM issues, improve observability and evaluations, and help define world-class support for modern AI platforms. You will collaborate with engineering, operations, and product teams to resolve bugs, refine runbooks, and drive continuous improvement, while mentoring other engineers and shaping