Senior Backend GenAI Software Engineer (773) Full Time NEW

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you’re ready to shape the future of data security, Protegrity is the place for you.

If you are an experienced, driven and curious software engineer with experience in backend API development, microservices run on Kubernetes, Generative AI (GenAI) and Large Language Models (LLMs), complemented by a strong commitment to data security, privacy, and safety – WE WANT YOU!

Your role will primarily focus on integrating and maintaining GenAI backend microservices into Kubernetes: building, maintaining and integrating software engineering solutions for products that enable the safe and secure consumption of GenAI by our customers.

Responsibilities

• Develop, test, and maintain robust container based microservice API architectures on Kubernetes clusters.
• Design and develop high-quality, scalable software products supporting our customer’s security, safety, and privacy of GenAI and LLM-based systems with advanced guardrail capabilities.
• Integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into the delivery of our product features.
• Develop state of the art guardrails and systems leveraging agent workflows and tooling to support safety and security of GenAI.
• Monitor, debug, and troubleshoot production issues.
• Collaborate closely with other software engineers, product teams, AI researchers, and security specialists to deliver enterprise-grade software products and features for safe, secure, and private consumption of GenAI.
• Evaluate and integrate open-source tools and third-party platforms to accelerate product development.

Requirements

• 12+ years of experience in backend software engineering with strong expertise in GenAI and LLM, and a focus on scaling of GenAI solutions.
• Expertise developing and maintaining GenAI workflows including RAG workflows and prompt engineering techniques.
• Experience developing and scaling cloud solutions using APIs, containers and microservice architectures with Kubernetes, Docker, Helm, etc.
• Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.
• Strong skills in Python with experience in cloud environments (e.g., AWS, Google Cloud, Azure).
• Familiarity with version control tools, CI/CD pipelines and DevOps practices.
• Demonstrated ability to build and manage complex, distributed systems supporting enterprise solutions.

Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks.

We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.

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Compensation Range: $209.1K – $234.1K