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AI Agent Developer

ComTec Information SystemsUnited States🇺🇸United StatesPosted Sep 9, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to develop cutting-edge AI agents for cybersecurity using AWS and Amazon Bedrock, significantly impacting security operations. You'll thrive here if you're a mid-senior developer passionate about building intelligent automation and eager to expand your skills in LLMs, prompt engineering, and security integrations. Apply now to join a forward-thinking team and shape the future of AI-driven cybersecurity!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
API GatewayAWSSplunkGitLLMPythonREST

Job Description

Title: AI Agent Developer

Location: The Woodlands, TX (Hybrid - 1 day a week or 1 week a month)

Job Overview

We are looking for an AI Agent Developer with hands-on experience building AI/LLM-powered agents and automation solutions for cybersecurity use cases. The candidate will develop AI agents using AWS and Amazon Bedrock and integrate them with security data sources such as CrowdStrike, Splunk, and Cribl. The role will focus on automating security investigations, alert analysis, threat hunting, incident response, and security operations workflows.


Key Responsibilities

  • Design, develop, and deploy AI agents / Agentic AI solutions using Amazon Bedrock and AWS.
  • Build AI-driven workflows for security alert investigation, threat hunting, and incident response.
  • Integrate AI agents with CrowdStrike, Splunk, and Cribl using APIs and SDKs.
  • Develop Python-based automation for security data collection, analysis, correlation, and response.
  • Use LLMs, prompt engineering, RAG, and tool/function calling to build intelligent security agents.
  • Develop agents that can query CrowdStrike Falcon, Splunk, and Cribl and correlate security information.
  • Automate repetitive SOC activities such as alert enrichment, investigation, incident summarization, and reporting.
  • Develop secure agent workflows with appropriate authentication, authorization, permissions, and human approval controls.
  • Implement AI security controls against prompt injection, data leakage, excessive permissions, and unauthorized tool access.
  • Integrate agents with existing security and cloud environments through REST APIs.
  • Test, troubleshoot, monitor, and optimize AI agents for accuracy, performance, and reliability.
  • Work with SOC, threat hunting, incident response, and security engineering teams to identify and automate security use cases.
  • Create documentation, workflows, and runbooks for AI-based security automation.


Required Skills

  • AI Agents / Agentic AI, Amazon Bedrock, AWS, LLMs, RAG, Prompt Engineering, and Tool/Function Calling
  • Python, REST APIs, SDKs, JSON, Git, and CI/CD
  • CrowdStrike Falcon, Splunk/SPL, and Cribl
  • Security Automation, Threat Detection, Threat Hunting, and Incident Response
  • SIEM, EDR/XDR, SOAR, and cybersecurity operations
  • AWS services: Lambda, API Gateway, IAM, S3, CloudWatch, EventBridge, and Step Functions
  • Understanding of AI/LLM Security, Prompt Injection, Data Protection, and Access Controls

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