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Agentic AI Software Engineer

Pure Storage, Inc.Santa Clara, California
On-site Full-time $149K/yr - $224K/yr

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Experience Level

Experience

Qualifications

WHAT YOU BRING3–6 years of professional software engineering experience in backend or distributed systems development. Strong proficiency in Python and experience in developing RESTful APIs. Solid understanding of AI and machine learning principles. Familiarity with AWS services and cloud architecture. Excellent problem-solving skills and ability to work collaboratively in a team environment.

About the job

Join Pure Storage, where we are at the forefront of an exhilarating technology revolution, fundamentally transforming the data storage landscape. Here, you will unleash your innovative potential, evolve with our team, and collaborate with some of the brightest minds in the industry.

This is the kind of work that has historically driven the tech sector—a chance to create solutions that genuinely make a difference. If you are eager to embrace limitless possibilities and leave an impactful legacy, we invite you to be part of our journey.

THE ROLE

We are looking for a skilled and innovative Agentic AI Software Engineer to enhance our vibrant team in Santa Clara, CA. You will be responsible for developing production-grade agentic AI solutions that facilitate enterprise automation and drive digital transformation initiatives. Your expertise will involve designing and deploying LLM-based services, employing advanced prompt engineering techniques, implementing guardrails, and establishing model evaluation frameworks, all while ensuring secure and scalable operations on AWS. This position emphasizes creating reliable, secure, and observable AI systems that seamlessly integrate with enterprise platforms.

WHAT YOU'LL DO

  • Design and develop production-grade Agentic AI solutions leveraging LLMs, multi-agent workflows, and RAG pipelines.
  • Implement and enhance 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 through microservices architecture.
  • Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns as necessary.
  • Develop and maintain model evaluation frameworks, encompassing automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
  • Deploy and manage AI services on AWS, utilizing services such as EC2, S3, Lambda, RDS, and containerization through Docker and Kubernetes.
  • Adhere to 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.
  • Note: This role is primarily in-office, and you will be expected to work from the Santa Clara, CA office as per Everpure's policies, except during PTO, work travel, or other authorized leave.

About Pure Storage, Inc.

Pure Storage is a leading data storage technology company that is reshaping the industry with innovative solutions. We are dedicated to providing our clients with unparalleled storage experiences and driving digital transformation through cutting-edge technology.

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