We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
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.
- 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.
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.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Skills Required
- 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
- 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
Everpure Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.
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Equity Value & Accessibility — Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
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Strong & Reliable Incentives — Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
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Healthcare Strength — Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.
Everpure Insights
What We Do
Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.
