Understand the requirements.
Design and present the solution, gather feedback and iterate towards an acceptable solution.
Implement prototypes and high quality scalable, performant, testable production level code.
Build and maintain dashboards necessary to monitor and report on the production metrics of the feature (efficacy and performance)
Iterate and improve the solution as necessary features, efficacy, scale and performance.
Ability to provide detailed design and architecture documents for the feature.
Ability to present and explain the feature in the context of the product to the customers as needed.

6+ years of combined experience as a cloud app developer
4+ years of experience in implementing Generative AI Apps and features
Building Apps on Azure Cloud Platform, MS CoPilot, AI Agents
Deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A is required
Expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.
Deep understanding of 2 of cloud infrastructure and services
AWS, GCP, Azure or OCI
Expert level knowledge of Go and/or Python
Moderate to expert level knowledge of K8s.

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Senior Engineer, AI Detection and Response

Key skills