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MCP Security Engineer

AI is only as powerful as the tools it can access. Model Context Protocol (MCP) is emerging as the standard for connecting AI to tools & systems—but enterprises can’t adopt it safely without security, observability, and control. That’s where we come in.

At Anysource, we're building the AI enablement layer for modern enterprises. Our platform enables organizations to safely connect agents to their systems through MCP, with the security, auditability, and management enterprises demand. We’re a well-funded early-stage team that built Zapier's AI platform.

Why You’ll Thrive Here

  • Impact: Define best‑in‑class guardrails for AI workflows that run enterprises and touch production sensitive data.

  • Excellence: Work with a small team obsessed with secure AI enablement.

  • Ownership: Drive the entire LLM security lifecycle—from threat modeling to production mitigations.

What You’ll Do

  • Harden LLM pipelines. Implement prompt‑injection, jailbreak, and data‑exfiltration controls across chat, RAG, and agent flows.

  • Secure tool calls. Validate function schemas, sanitize inputs/outputs, and enforce policy‑based access at runtime.

  • Build detection & response. Instrument OTel traces for LLM events, detect and surface security threats, and automate containment.

What We’re Looking For

  • 5+ years in product security or offensive security, with 1+ year securing LLM/Gen‑AI systems.

  • Deep knowledge of prompt‑injection vectors, data leakage paths, and mitigation patterns.

  • Familiarity with LLM function calls / MCPs or similar agent frameworks.

  • Strong coding ability (Python or TypeScript preferred) and habit of writing defensive, well‑tested code.

  • Bonus: Experience with cloud KMS, eBPF, or runtime policy engines (OPA)

What We Offer

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.

  • Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.

  • Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.

  • Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.

  • Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.

  • Health benefits — comprehensive health, dental, and vision coverage.

  • Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.

Diversity and inclusion are fundamental to our success.

Not quite the right fit? Reach out to [email protected] with details about your experience and interests.

Average salary estimate

$200000 / YEARLY (est.)
min
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$160000K
$240000K

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DATE POSTED
September 12, 2025
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