LMTS
AI CRM
LMTS-AIAutomationEngineer-OffensiveSecurity
Neural analysis suggests this role is
optimal for Senior candidates.
“LMTS - AI Automation Engineer - Offensive Security at LMTS. Skills: AI Automation, LLMs, Agentic Frameworks, Offensive Security, Production-grade systems. Design, implement, and maintain agent-based AI automation workflows. Build systems capable of reasoning over large and heterogeneous data sources”
Industry & Context.
reason over complex data; reason about failure modes and edge cases
What They're Looking For.
Must Have
9+ years of professional software engineering experience, with exposure to AI-driven systems or automation, Hands-on experience with LLMs and agentic frameworks beyond basic prompt usage, understanding of Agent orchestration and execution control, understanding of Task planning and decomposition, understanding of State, memory, and context management, Proven ability to build production-grade systems, not just prototypes, software engineering fundamentals, including Modular system design, software engineering fundamentals, including API integration, software engineering fundamentals, including 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, communication skills and ability to collaborate closely with senior technical leadership
Nice to Have
Experience in security engineering, offensive security, or security research, Familiarity with Large-scale data ingestion and normalization, Familiarity with Signal correlation or prioritization systems, Familiarity with Workflow engines or automation platforms, Experience with Model evaluation or fine-tuning, Experience with Prompt optimization and structured prompting, Background in systems that operate across large, evolving external surfaces, Comfort balancing experimentation with production reliability
What You'll Do.
and maintain agent-based AI automation workflows
Build systems capable of reasoning over large and heterogeneous data sources
Build systems capable of planning and executing multi-step workflows
Build systems capable of grounding actions in real-world data
Build systems capable of result-adaptive execution
Implement core components
including agent logic and orchestration layers
Implement core components
including tool interfaces and execution handlers
Implement core components
including state management
Translate high-level automation designs into robust
testable implementations
Integrate AI-driven workflows with existing services
Implement observability
and debugging mechanisms for AI-assisted systems
Participate in evaluation and iteration of prompts
Collaborate closely with security practitioners to ensure outputs are actionable and operationally relevant
Contribute to engineering standards around safety
and change management
How You'll Work.
Team & Collaboration
Collaborate closely with security practitioners; collaborate closely with senior technical leadership
Communication Scope
communication skills
Full Job Description
_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Product Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 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 an
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