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