AI-Driven Security Automation Engineer, Full-Stack Python

GCS Recruitment; Philadelphia (Philadelphia County); On-site; USD 140,000 - 180,000; Full time

Job summary

GCS Recruitment is seeking a Full Stack Python Developer in Philadelphia, PA for a contract role of 12+ months. You will build AI-driven security automation within a CSOC, delivering production-grade workflows and agents that enhance threat detection and incident response.

You will design scalable automation, integrate APIs and tools, and drive solutions from prototype to production with a focus on reducing false positives and improving response speed.

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).
• 8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.
• Strong hands-on software development experience.
• Experience building production-grade automation or AI-powered applications.
• Experience with LLMs, Generative AI, or Agentic AI technologies.
• Strong programming skills, particularly in Python or other modern languages.
• Experience integrating APIs, tools, data sources, and external systems.
• Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.
• Strong analytical, problem-solving, and scalable system design skills.

Responsibilities

• Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.
• Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.
• Automate processes across Threat Intelligence, Threat Hunting, Detection Engineering, Security Investigations, Incident Response, Security Data Analysis.
• Apply advanced AI techniques including Tool Calling, Retrieval-Augmented Generation, Structured Generation, Planning & Reflection, Verification, Model Routing, Multi-Agent Coordination.
• Design memory, context management, task recovery, escalation, and human approval mechanisms.
• Reduce false positives and operational noise while improving response speed and consistency.
• Develop security controls and guardrails for AI systems.
• Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.
• Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.
• Take solutions from prototype to production and continuously optimize them.

Skills

Python

LLMs/Generative AI

Agentic AI

Software development

AI/ML

Education

Bachelor's degree in CS or related field

Tools

APIs

Kubernetes

Cloud platforms

Job description

Role- Full Stack Pythomn Developer
Type- Contract
Duration- 12+ months
Location- Philadelphia, PA

Overview

Seeking a Full Stack Python Developer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands-on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities

• Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.
• Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.
• Automate processes across:
• Threat Intelligence
• Threat Hunting
• Detection Engineering
• Security Investigations
• Incident Response
• Security Data Analysis
• Apply advanced AI techniques including:
• Tool Calling
• Retrieval-Augmented Generation (RAG)
• Structured Generation
• Planning & Reflection
• Verification
• Model Routing
• Multi-Agent Coordination
• Design memory, context management, task recovery, escalation, and human approval mechanisms.
• Reduce false positives and operational noise while improving response speed and consistency.
• Develop security controls and guardrails for AI systems.
• Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.
• Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.
• Take solutions from prototype to production and continuously optimize them.

Required Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).
• 8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.
• Strong hands-on software development experience.
• Experience building production-grade automation or AI-powered applications.
• Experience with LLMs, Generative AI, or Agentic AI technologies.
• Strong programming skills, particularly in Python or other modern languages.
• Experience integrating APIs, tools, data sources, and external systems.
• Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.
• Strong analytical, problem-solving, and scalable system design skills.

Preferred Qualifications

• Experience building agentic AI systems or autonomous security workflows.
• Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response.
• Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval.
• Experience with multi-agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks.
• Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.
• Experience implementing human-in-the-loop controls and approval workflows.
• Proven ability to take AI solutions from proof of concept (POC) to production deployment.
• Understanding of enterprise AI security controls and best practices.

GCS is acting as an Employment Business in relation to this vacancy.