Job Description:

AI Product Engineer — Multi-Agent Workflows

About the role

We’re hiring someone to design and build AI-native, multi-agent workflows across a suite of AI-native products in cybersecurity and reliability engineering. This person will sit at the intersection of product thinking, AI systems design, workflow orchestration, and enterprise integrations.

You will help define how autonomous and semi-autonomous agents collaborate, reason, retrieve context, call tools, and take action

This is a hands-on builder role for someone who can go from problem framing → workflow design → agent architecture → production implementation.

What you’ll do
- Design and implement AI-native multi-agent workflowsfor 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:

o tool calling

o state management

o memory and context handling

o human-in-the-loop checkpoints

o 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:

o SOC alert triage and investigation

o incident correlation and root cause analysis

o remediation recommendations and action execution

o runbook automation

o cross-product enrichment and case summarization

o 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 identify

📌 AI Product Engineer (Pune)
🏢 Crest Data Systems
📍 Pune