Pure Storage

Member of Technical Staff

Pure Storage$149K — $224K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-6 years of professional software engineering experience in backend or distributed systems.
  • Strong proficiency in Python, particularly in developing RESTful APIs.
  • Hands-on experience with LLM-based or Agentic AI applications, RAG, and vector databases.
  • Practical experience in Prompt Engineering and understanding of LLM behavior and optimization techniques.
  • Experience deploying applications in AWS cloud environments and operating them securely.
  • Experience with AI guardrails and model validation techniques.
  • Solid understanding of cloud-native security practices and secure system design.

Responsibilities

  • Design and develop production-grade Agentic AI solutions using LLMs and multi-agent workflows.
  • Implement and refine Prompt Engineering strategies to ensure reliable AI behavior.
  • Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems.
  • Establish guardrails including output validation, fallback strategies, and human-in-the-loop patterns.
  • Develop and maintain model evaluation frameworks for AI systems.
  • Deploy and operate AI services on AWS, leveraging services like EC2 and S3.
  • Ensure observability and reliability of AI-driven services in production.

Benefits

  • Innovation-focused culture that encourages critical thinking and challenges.
  • Growth opportunities in a recognized Best Workplace in Technology and Bay Area.
  • Supportive team environment that values collaboration and ego-free dynamics.
  • Flexible time off and wellness resources for a healthy work-life balance.
  • Company-sponsored team events to foster community.
Full Job Description
THE ROLE

Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.

WHAT YOU'LL DO
  • 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.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING
  • 3-6 years of professional software engineering experience building backend or distributed systems.
  • Strong proficiency in Python and developing RESTful APIs.
  • Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
  • Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
  • Experience deploying and operating applications in AWS cloud environments.
  • Experience implementing AI guardrails, model validation techniques, and production monitoring.
  • Solid understanding of cloud-native security practices and secure system design.
Preferred Qualifications
  • Experience with multi-agent orchestration frameworks or AI tool integration patterns.
  • Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
  • Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
  • Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
  • Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.


#LI-ONSITE

#LI-TH3

Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.

This role may be eligible for incentive pay and/or equity.

There is no application deadline and we accept applications on an ongoing basis until the job is filled.

The annual base salary range is:

$149,000-$224,000 USD

WHAT YOU CAN EXPECT FROM US:
  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

About Pure Storage

Pure Storage is a data storage company that provides all-flash storage solutions. The company was founded in 2009 and is headquartered in Mountain View, California. Pure Storage's products are designed to help businesses manage and store large amounts of data. The company has over 7,000 customers and operates in over 40 countries. Pure Storage went public in 2015 and is listed on the New York Stock Exchange under the ticker symbol PSTG.
Learn more about Pure Storage
Size
4,300 employees
Market Cap
$8 billion
Industry
Net Income
-$282 million
Founded
2009
5 Year Trend
+24.2%
Revenue
$1.6 billion
NASDAQ

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