Director Software Engineering (GenAI Backend SWE) 717

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not Specified

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.

This job is for you if: You are an experienced, driven, and curious software engineer with experience in backend API and micro-services, Generative AI (GenAI) and Large Language Models (LLMs), complemented by a strong commitment to data security, privacy, and safety. Your role will primarily focus on designing, building, and maintaining software engineering solutions for products that enable the safe and secure consumption of GenAI by our customers. As a key technical leader within our team, you will 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.

Responsibilities

• 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.
• Develop, test, and maintain robust container-based and microservice API architectures.
• Monitor, debug, and troubleshoot production issues.
• Participate in code reviews and contribute to team best practices.
• Stay at the forefront of industry trends in GenAI tooling, cloud-native solutions, and software development practices, applying insights to improve product capabilities.
• Collaborate with AI researchers and product teams to integrate advanced GenAI and LLM capabilities into production-grade software systems.
• 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 fine-tuning LLMs, embedding and vector databases, 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 programming skills in Python with experience in cloud environments (e.g., AWS, Google Cloud, Azure).
• Experience with large-scale unstructured data processing, including NLP, computer vision, or multimodal AI applications.
• Familiarity with version control tools, CI/CD pipelines and DevOps practices.
• Solid understanding of software development best practices, including Agile methodologies.

Key Personal Attributes

• Exceptional problem-solving skills, with a focus on secure AI system development.
• A collaborative mindset to work effectively in cross-functional environments.
• Strong communication skills.