Principal Software Engineer

Salary Range: 207000 to 221750 (Currency: USD) (Pay period: per-year-salary)

Responsibilities may include but are not limited to:

• Lead the design and development of high-quality, scalable software products supporting security, safety, and privacy in GenAI and LLM-based systems.
• Lead software engineering activities to integrate security and privacy for GenAI systems including LLM, Vector Databases, RAG pipelines, and guardrails.
• Develop state-of-the-art guardrails and systems leveraging agent workflows and tooling to support the safety and security of GenAI.
• Develop monitoring and alerting systems for the safe deployment of GenAI applications.
• Understand compliance and regulatory standards (e.g., EU AI, NIST, OWASP, GDPR, CCPA, HIPAA) for GenAI and data.
• 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.

In addition to the qualifications, a successful candidate will demonstrate:

• 7-10 years of experience in software engineering with a strong background in GenAI and LLM, and with a strong 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 with GenAI development platforms, including AWS Bedrock and Azure OpenAI.
• 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.
• Experience with AI safety and security concepts such as robustness, model interpretability, bias detection, and adversarial testing.
• Experience integrating security and privacy controls into data and AI systems, including IAM frameworks, encryption, and anonymization techniques.
• Working knowledge of regulatory and compliance frameworks (e.g., OWASP, NIST AI RMF, EU AI).
• Demonstrated ability to build and manage complex, distributed systems supporting enterprise solutions.


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 to articulate complex AI concepts to diverse audiences, including executives and customers.
• A commitment to continuous learning and a passion for emerging AI security technologies.
• Intellectual curiosity with a passion for solving complex AI and security challenges.

Why Choose Protegrity:

• This role offers the opportunity to innovate at the intersection of GenAI safety, privacy, and governance. You will play a pivotal role in helping customers establish trust and compliance in their AI applications while contributing to the company’s technical strategy and industry leadership. Join us in shaping the future of GenAI security.
• We offer a highly competitive compensation and benefits package as well as the excitement, challenges, and rewards of a fast-growing, entrepreneurial company.
• Become a member of a leading Data and GenAI Protection, Privacy and Security company during one of the best market opportunities to come along in a generation.
• Competitive Compensation/Total Reward Packages
• Paid Time Off (PTO)
• Work on global projects with diverse, energetic, team members who respect each other and celebrate differences.

Working Model

• This role is a hybrid-based and generally would require you to attend on-site 2-3 days per week based on business needs. In certain circumstances the work model may change to accommodate business needs.