Senior DevOps/Backend GenAI Software Engineer (773 (Palo Alto)
Join to apply for the Senior Backend GenAI Software Engineer 773 role at TM2 Group, LLC 4 days ago Be among the first 25 applicants This range is provided by TM2 Group, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $209,100.00/yr - $234,100.00/yr 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 a driven and curious senior software engineer with strong 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 - We Want You! 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. Responsibilities As a key technical leader, 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. 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 on Kubernetes based architectures. 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 expertise in GenAI and LLM, and a focus on scaling 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 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 Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision) Paid Time Off (PTO) 401K Annual Bonus Incentives Short and Long Term Disability Work on global projects with diverse, energetic, team members who respect each other and celebrate differences Talent First Workforce 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. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information. Compensation Range: $209.1K - $234.1K J-18808-Ljbffr
