AI Software Engineer Intern

Reposted One Month Ago
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San Jose, San José, CRI
In-Office
Internship
Artificial Intelligence • Cloud • Security • Software
The Role
Implement and maintain AI/ML infrastructure for Nirmata's Policy Management platform, contribute to AI-powered features (LLMs, RAG, model tuning), and work with the engineering team across cloud-native technologies including Kubernetes, Java/Go microservices, MongoDB, and Kafka.
Summary Generated by Built In

About the Role:

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.

What We Offer:

  • Hands-on experience with real-world software development projects
  • Mentorship from experienced software engineers.
  • An inclusive and collaborative work environment.
  • Opportunity to be part of an early stage startup.
  • Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing

Qualifications:

  • Education: Bachelor's or Master's degree student in Computer Science or a related field.
  • Focus on machine learning and data science.
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.
  • Familiarity with SLMs: model design and fine-tuning
  • Interested in Kubernetes and cloud native technologies

ABOUT NIRMATA

Nirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation.

Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines.

Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details.

By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.

Skills Required

  • Bachelor's or Master's degree student in Computer Science or a related field
  • Focus on machine learning and data science
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI), including Retrieval-Augmented Generation (RAG) and model tuning
  • Familiarity with SLMs: model design and fine-tuning
  • Interest in Kubernetes and cloud native technologies
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The Company
HQ: San Jose, CA
97 Employees
Year Founded: 2013

What We Do

Nirmata is an AI-powered enterprise platform providing unified governance, security, and compliance for cloud-native applications and infrastructure. As the creator of the CNCF policy engine Kyverno, Nirmata offers a control plane that automates Kubernetes security via policy-as-code, helping organizations prevent misconfigurations, achieve regulatory compliance, and govern complex multi-cluster environments and AI agents at scale.

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