About the job
Join us at the forefront of an exhilarating tech evolution as we revolutionize the data storage landscape. At Pure Storage, you will engage in innovative projects, grow your skills, and collaborate with some of the brightest minds in the industry.
If you're eager to make a meaningful impact and embrace a wealth of opportunities, we invite you to be part of our journey.
THE ROLE
We are seeking a skilled and innovative Agentic AI Software Engineer to become a vital part of our dynamic team in Santa Clara, CA. In this position, you will create production-ready agentic AI solutions that facilitate enterprise automation and digital transformation. Your responsibilities will include designing and deploying LLM-based services, implementing effective prompt engineering techniques, establishing guardrails, and developing model evaluation frameworks, all while ensuring secure and scalable delivery on AWS. This role emphasizes building reliable, secure, and observable AI systems integrated with enterprise platforms.
WHAT YOU'LL DO
- Develop and design production-grade Agentic AI solutions utilizing LLMs, multi-agent workflows, and RAG pipelines.
- Implement and enhance Prompt Engineering strategies to ensure dependable and deterministic AI behavior.
- Create secure backend services and REST APIs in Python, integrating AI agents with enterprise systems via microservices architecture.
- Establish robust guardrails such as output validation, fallback strategies, and human-in-the-loop patterns where necessary.
- Maintain model evaluation frameworks including automated prompt testing, retrieval validation, and performance benchmarking.
- Deploy and manage AI services on AWS, utilizing services like EC2, S3, Lambda, RDS, along with Docker and Kubernetes for containerization.
- Adhere to strong security best practices including access control, data protection, and secure API design.
- Ensure observability and reliability of AI-driven services in production.
- Work primarily in our Santa Clara, CA office in alignment with company policies unless on approved leave.

