LMTS - AI Automation Engineer - Offensive Security

Salesforce is hiring a LMTS - AI Automation Engineer - Offensive Security in India - Hyderabad.

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

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

Requirements

• 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

• 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

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