About Langchain
langchain.comSource: Wikipedia
Langchain
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 Team
The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain’s core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.
About the role
You’ll be the hands‑on security lead embedded with core product teams to secure agentic workloads end‑to‑end, from SDK through LangSmith/Graph services and customer integrations. You’ll define our security roadmap, land immediate hardening wins, and raise the bar on how AI infra is protected in production. We are looking for engineers who have expertise in cloud/infrastructure security or application security (both is a plus!)
What you’ll do
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Own product & platform security: Design and drive application/infrastructure security controls across LangSmith, LangGraph, and the LangChain SDK ecosystem (Python/TS/Go).
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Secure-by-default authN/Z: Evolve SSO/SAML/OIDC/SCIM, token lifecycles, service‑to‑service auth, and tenant isolation for cloud and self‑hosted customers.
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Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly without slowing delivery.
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Ship code, reviews, and tooling: Land secure designs, write PRs, perform penetration testing, and introduce lightweight checks (linters, dependency/supply‑chain scanning, SBOM/SLSA provenance) to enable security at scale.
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Hardening & operations: Network segmentation/Zero Trust, Kubernetes posture, secrets management, key rotation, least‑privilege IAM, egress controls
What you’ll bring
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5+ years in security engineering with strong software skills (Python or Go; TypeScript a plus).
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Depth in cloud/Kubernetes security (e.g., GCP/AWS IAM, workload identity, admission controls, network policies).
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Hands‑on AppSec: code review, threat modeling, secure design, secrets & key management, authn/z patterns, multi‑tenant isolation.
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Experience building detection & response and running incident management.
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Familiarity with supply‑chain security (SBOM, sigstore/cosign, SLSA‑style controls) and dependency risk management.
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Clear, pragmatic communication with engineers and customers.
Nice to have
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Security for SaaS + self‑hosted offerings, including air‑gapped deployments.
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Proficiency with AI tooling to expedite security reviews
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Solid understanding of AI itself, including AI threats, adversarial testing
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Exposure to SOC 2 / ISO 27001 programs and evidence automation.
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Experience with Go services and Infra as Code (Terraform/Helm), plus policy‑as‑code (OPA/Gatekeeper/Kyverno).
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Knowledge of privacy patterns (data minimization, retention, masking, workspace scoping).
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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.
To apply for this job please visit jobs.ashbyhq.com.
About this role & career path
Working in San Francisco
San Francisco, officially the City and County of San Francisco, is the fourth-most populous city in California and the 17th-most populous in the United States, with a population of 826,079 in 2025. Among U.S. cities with a population of 200,000 or more, San Francisco is ranked first by per capita income, second by population density, and sixth by aggregate income as of 2024. Some 4.6 million residents live in the city's metropolitan statistical area, which is the 13th-largest in the United States. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fift
What people say about Langchain
- Ask HN: Who wants to be hired? (June 2026)
- Ask HN: Who wants to be hired? (June 2026)
- ProofLayer Rules – runtime security, red-team evals for LangGraph
- The Vanta AI Quality Eval Maturity Model
Recent news
- When to use Claude memory, Oracle AI Agent Memory, and LangChain together - Oracle Blogs
- AI agent framework flaws hit 7,000 servers - VentureBeat
- Langflow servers under attack as critical vulnerabilities spread across LangChain framework - Crypto Briefing
- Why AI Engineers Are Moving Beyond LangChain to Native Agent Architectures - Towards Data Science
- RAG Frameworks: LangChain vs LangGraph vs LlamaIndex - AIMultiple
Aggregated from public discussions and news; opinions are the authors’ own.
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