Agent Security Engineer

Belmont Lavan Ltd; Texas City (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Belmont Lavan Ltd. is seeking an Agent Security Engineer to secure autonomous AI agents before and after production. You’ll design guardrails, test systems, and build governance that enables confident deployments of agents with minimal risk.

You will join between AI engineering and security, translating risk into concrete controls and policies, and spearheading IAM, least-privilege, monitoring, and testing for live agent-based workflows.

Qualifications

• 5+ years in security engineering with at least 1 year securing LLM or agent-based systems.
• Hands-on knowledge of LLM attack techniques: prompt injection, jailbreaks, data exfiltration via tools, RAG poisoning
• Experience designing identity and access controls: OAuth 2.0 / OIDC, token exchange, workload identity, secrets management
• Working knowledge of agent frameworks and protocols such as LangGraph, OpenAI Agents SDK, CrewAI or Model Context Protocol (MCP)
• Strong coding skills in Python, plus one of Go, TypeScript or Rust
• Cloud security on AWS, Azure or GCP, including logging, detection and policy-as-code (e.g. OPA / Cedar)
• Ability to explain AI risk clearly to engineers, risk teams and executives

Responsibilities

• Sit between AI engineering and security to design guardrails and governance controls.
• Attack the systems to validate defenses and ensure secure deployment of agents.
• Collaborate with risk teams and executives to communicate AI risk clearly.

Skills

Security engineering

LLM/agent security

Attack techniques

Identity & access controls

Python

Go/TypeScript/Rust

Cloud security

Explaining AI risk

Tools

LangGraph

OpenAI Agents SDK

CrewAI

Model Context Protocol (MCP)

AWS

Azure

GCP

Job description

Belmont Lavan is hiring an Agent Security Engineer to secure autonomous AI agents before and after they reach production. Agents now call tools, hold credentials and act on live systems, so they need the controls we already expect for people and services: identity, least-privilege access, monitoring and testing.

You will sit between AI engineering and security. You will design the guardrails, attack the systems yourself, and build the governance controls that let the business deploy agents with confidence.

• 5+ years in security engineering (AppSec, cloud security, IAM or offensive security), with at least 1 year securing LLM or agent-based systems
• Hands-on knowledge of LLM attack techniques: prompt injection, jailbreaks, data exfiltration via tools, RAG poisoning
• Experience designing identity and access controls: OAuth 2.0 / OIDC, token exchange, workload identity, secrets management
• Working knowledge of agent frameworks and protocols such as LangGraph, OpenAI Agents SDK, CrewAI or Model Context Protocol (MCP)
• Strong coding skills in Python, plus one of Go, TypeScript or Rust
• Cloud security on AWS, Azure or GCP, including logging, detection and policy-as-code (e.g. OPA / Cedar)
• Ability to explain AI risk clearly to engineers, risk teams and executives