Overview:
The Senior Software Engineer for AI lays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. The SSE will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems.
- Design and implement AI-native multi-agent workflows for cybersecurity and SRE use cases
- Define how agents collaborate across tasks such as planning, retrieval, reasoning, execution, verification, escalation, and summarization
- Build agentic systems that can interact with:
- internal product capabilities
- third-party APIs
- security tools
- observability and incident systems
- knowledge bases and structured/unstructured data
- Create robust orchestration patterns for:
- tool calling
- state management
- memory and context handling
- human-in-the-loop checkpoints
- fallback and recovery behavior
- Work closely with product, engineering, design, security SMEs, and customers to turn ambiguous workflows into production-grade AI capabilities
- Prototype rapidly, evaluate performance, and productionize successful patterns
- Design workflows for high-value use cases such as:
- SOC alert triage and investigation
- Incident correlation and root cause analysis
- Remediation recommendations and action execution
- runbook automation
- cross-product enrichment and case summarization
- integration-led automations across cybersecurity stacks
- Define quality standards for agent behavior including accuracy, explainability, observability, guardrails, and failure handling
- Contribute to the product roadmap by identifying where agentic workflows can create real user value
Requirements:
- 5+ years in product engineering, solutions architecture, workflow automation, AI applications, or related roles
- Strong experience building LLM-powered applications or agentic systems in production
- Experience designing multi-step workflows that combine reasoning, retrieval, API/tool use, and action execution
- Strong understanding of one or more of the following:
- cybersecurity workflows
- SOC operations
- SRE / incident management / observability
- enterprise integration platforms
- Ability to translate messy real-world operator workflows into elegant productized systems
- Experience with orchestration frameworks, agent frameworks, or custom workflow engines
- Strong coding ability in Python, Typescript, or similar
- Familiarity with APIs, event-driven systems, connectors, and systems integration
- Comfort working across product design, architecture, and implementation
- Strong written communication and systems thinking
Join our team and play a key role in shaping the future of artificial intelligence and machine learning!
