Senior Software Engineer- AI (Ahmedabad)

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 Robust 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! 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 Robust 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 manag