About LangChain
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.
Today,
LangChain, LangGraph, LangSmith, and Agent Builder
are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like
Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500
.
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.
About The Role
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.
How To Be Successful In This Role
- 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.
Location:
Compensation & Benefits
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.
