Software Engineer

Pure Storage is fundamentally reshaping the data storage industry and is seeking a talented Agentic AI Software Engineer to join their dynamic team. In this role, you will build production-grade AI solutions that drive enterprise automation and digital transformation, focusing on secure and scalable delivery on AWS.

Responsibilities:

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design
• Ensure strong observability, monitoring, and reliability of AI-driven services in production