Director Software Engineering (GenAI Backend SWE) 717

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $220K - $244K

Protegrity leads innovation in data protection using AI and quantum-resistant cryptography across various environments. We specialize in tokenization, format-preserving encryption, and quantum-resilient techniques to safeguard sensitive data. Our mission is to make data valuable, usable, trusted, and safe. This role offers an opportunity to work at the forefront of innovation and collaboration, impacting the industry and redefining data security for the GenAI era.

This opportunity is ideal for an experienced, driven, and curious software engineer with expertise in backend APIs, microservices, Generative AI (GenAI), and Large Language Models (LLMs), coupled with a strong commitment to data security, privacy, and safety. The primary focus will be on designing, building, and maintaining software engineering solutions for products that enable the safe and secure consumption of GenAI by customers. As a key technical leader, you will collaborate with software engineers, product teams, AI researchers, and security specialists to deliver enterprise-grade software products and features for safe, secure, and private GenAI consumption.

Responsibilities

• Design and develop high-quality, scalable software products that enhance the security, safety, and privacy of customer GenAI and LLM-based systems with advanced guardrail capabilities.
• Integrate GenAI systems, including LLMs, VectorDBs, RAG pipelines, agents, and guardrails, into product features.
• Develop state-of-the-art guardrails and systems leveraging agent workflows and tooling to support GenAI safety and security.
• 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 current with industry trends in GenAI tooling, cloud-native solutions, and software development practices, applying insights to enhance 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 GenAI solutions.
• Expertise in 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 technologies like Kubernetes, Docker, and Helm.
• Experience integrating software products using authentication and authorization mechanisms such as cloud IAM, SSO, JWT, and OAuth.
• 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.