LMTS - AI Automation Engineer - Offensive Security

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We are looking for a Lead AI Automation engineer to design and build advanced AI-driven automation that supports offensive security and security research workflows.
 

This is a deeply hands-on engineering role. You will work closely with the AI Automation Director and a small, agile team to implement orchestrated, agent-based automation—translating architectural direction into reliable, production-grade systems. The focus is on building automation that can reason over complex data, coordinate multi-step actions, and operate safely in real environments.

This role is ideal for an experienced engineer who has built real AI systems, understands their limitations, and wants to apply them to complex, adversarial problem spaces.
 

Key Responsibilities

• Design, implement, and maintain agent-based AI automation workflows under the technical direction of the AI Automation Director

  
  
  

• Build systems capable of:

  
  
  

  • Reasoning over large and heterogeneous data sources

    
    
    

  • Planning and executing multi-step workflows

    
    
    

  • Grounding actions in real-world data

    
    
    

  • Result-adaptive execution
     

    
    
    

• Implement core components, including:

  
  
  

  • Agent logic and orchestration layers

    
    
    

  • Tool interfaces and execution handlers

    
    
    

  • State management, memory, and context handling
     

    
    
    

• Translate high-level automation designs into robust, testable implementations

  
  
  

• Integrate AI-driven workflows with existing services, data sources, and platforms

  
  
  

• Implement observability, logging, and debugging mechanisms for AI-assisted systems

  
  
  

• Participate in evaluation and iteration of prompts, workflows, and control logic

  
  
  

• Collaborate closely with security practitioners to ensure outputs are actionable and operationally relevant

  
  
  

• Contribute to engineering standards around safety, reliability, and change management

  
  
  

Required Qualifications

• 9+ years of professional software engineering experience, with strong exposure to AI-driven systems or automation

  
  
  

• Hands-on experience with LLMs and agentic frameworks beyond basic prompt usage

  
  
  

• Strong understanding of:

  
  
  

  • Agent orchestration and execution control

    
    
    

  • Task planning and decomposition

    
    
    

  • State, memory, and context management
     

    
    
    

• Proven ability to build production-grade systems, not just prototypes

  
  
  

• Strong software engineering fundamentals, including:

  
  
  

  • Modular system design

    
    
    

  • API integration

    
    
    

  • Distributed systems

    
    
    

• Experience working in fast-moving, ambiguous problem spaces

  
  
  

• Experience in offensive security, penetration testing, red teaming, application security, or vulnerability research with demonstrated technical skills

  
  
  

• Ability to reason about failure modes and edge cases in semi-autonomous systems

  
  
  

• Strong communication skills and ability to collaborate closely with senior technical leadership
   

  
  
  

Preferred Qualifications (Advantage)

• Experience in security engineering, offensive security, or security research

  
  
  

• Familiarity with:

  
  
  

  • Large-scale data ingestion and normalization

    
    
    

  • Signal correlation or prioritization systems

    
    
    

  • Workflow engines or automation platforms
     

    
    
    

• Experience with:

  
  
  

  • Model evaluation or fine-tuning

    
    
    

  • Prompt optimization and structured prompting

    
    
    

• Background in systems that operate across large, evolving external surfaces

  
  
  

• Comfort balancing experimentation with production reliability

  
  
  

Unleash Your Potential

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