Forward Deployed Engineer, AI Security

AI agents are changing how enterprises operate. Companies want to move fast with MCPs and agents, but they need a way to do it safely.

CodeIntegrity is the platform security teams use to control MCPs and agents, built for companies deploying AI across the enterprise. We raised $5 million from SYN Ventures, Antler, and Boost, and we are a small team, mostly engineers, shipping fast. We are building the infrastructure that will make enterprise AI safe to use.

What You Will Do

You'll help customers prove and deploy CodeIntegrity in real enterprise environments.

• Lead technical evaluations with security, platform, and engineering teams.
• Build prototypes and integrations across MCPs, agents, tools, identity, and enterprise systems.
• Guide deployments from first demo through working production paths.
• Debug implementation issues across APIs, authentication, permissions, logs, and infrastructure.
• Turn field patterns into reusable implementation guidance and product feedback.
• Build customer confidence through clear communication and strong engineering judgment.

What We Need

• You can write production-quality code and work directly with customers.
• You understand APIs, authentication, authorization, networking, or enterprise infrastructure.
• You can quickly understand a customer's environment and identify the right technical path.
• You can explain complex systems clearly to security and engineering teams.
• You are comfortable moving between code, architecture, demos, and customer conversations.
• You can turn ambiguous deployment problems into concrete solutions.

Nice to have:

• Familiarity with MCP, agents, tool calling, or LLM application infrastructure.
• Experience with cybersecurity, identity, access control, gateways, or enterprise infrastructure.
• Experience supporting enterprise proof-of-concepts, deployments, or technical evaluations.

What We Offer

We offer a competitive package for people who can move quickly, work with enterprise customers, and help build critical infrastructure for enterprise AI.

• Competitive package. Salary, equity, and benefits aligned with the scope and ownership of the role.
• Time off. Four weeks of paid vacation, paid sick leave, and paid parental leave.
• Professional development. Budget for conferences, courses, and certifications across AI, enterprise software, and security.
• Top-tier equipment. Your choice of laptop and accessories for the way you work best.
• Health benefits. Comprehensive medical, dental, and vision coverage.
• Customer access. Work directly with companies adopting AI in production and see the impact of what you build.