Full-Stack AI & LLM Integration Engineer

EthicalHat Cyber Security; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

EthicalHat Cyber Security is seeking an engineer to build and extend web products, bringing practical AI capabilities into users’ workflows. The role covers backend and frontend engineering, integrations, secure deployment, and an MCP server that gives AI clients controlled access to product data and actions.

You will develop backend services and REST APIs for dashboards, workflows, uploads, and reports, implement identity controls including SSO/MFA, and deliver AI assistants with human review.

Qualifications

• 3+ years building production web applications end-to-end, with at least one LLM feature shipped to real users.
• Proficient in Java, Groovy and Grails; robust skills in JavaScript, HTML, and CSS.
• Strong MariaDB/SQL with schema design; familiarity with Neo4j and Cypher.
• Experience with Tomcat, Keycloak, OIDC/SAML SSO, MFA, and RBAC.

Responsibilities

• Develop backend services, REST APIs, and responsive screens for dashboards, workflows, uploads, and reports.
• Implement integrations and identity controls including SSO, MFA, and RBAC; document APIs and address security findings.
• Deliver AI assistants and features for answering questions from product data, summarizing information, and drafting reports with human review.
• Build and maintain an MCP server enforcing access boundaries and recording AI actions in audit logs.
• Package and deploy releases for cloud and on-premises environments; maintain data migrations as systems evolve.
• Evaluate AI quality and cost, improving performance across releases.

Skills

Java

Groovy

Grails

JavaScript

HTML/CSS

MariaDB/SQL

Neo4j/Cypher

Tomcat

Keycloak

OIDC/SAML SSO

MFA

RBAC

Windows Server

Ubuntu Linux

Security best practices

API documentation

Tools

Tomcat

Keycloak

Neo4j

Cypher

OIDC

Job description

EthicalHat Cyber Security is seeking an engineer to build and extend web products, bringing practical AI capabilities into users’ workflows. The role covers backend and frontend engineering, integrations, secure deployment, and an MCP server that gives AI clients controlled access to product data and actions.

You will develop backend services and REST APIs for dashboards, workflows, uploads, and reports, implement identity controls including SSO/MFA, and deliver AI assistants with human review.