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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Backend Software Engineer - **Company:** PROTEGRITY USA, INC. - **Location:** Menlo Park, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Cloud Computing, Configuration Management, Cyber Security, Continuous Delivery, Continuous Integration, Data Security, Software Debugging, DevOps, Distributed Systems, Revision Control Systems, Identity and Access Management, Python (Programming Language), Language Modeling, OAuth, Open Source Technology, Cloud Services, Server Administration, Single Sign-On, Software Engineering, Systems Integration, Privacy Controls, Google Cloud, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, Backend, Kubernetes, Docker, Microservices - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-genai-backend-software-engineer-773-menlo-park-ca--192026e3-2e13-4e23-8b5c-e7f968fe590a ## About the Role We are seeking a senior software engineer with experience in backend API development, Kubernetes-based microservices, Generative AI (GenAI) and Large Language Models (LLMs), along with a strong commitment to data security, privacy, and safety., * 10+ 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., Application Programming Interface (API), Artificial Intelligence (AI), Authentication Software, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cryptography, Customer Support/Service, Debugging Skills, DevOps, Distributed Computing, Docker, Identify Issues, Information/Data Security (InfoSec), Machine Tool, Microservices, Modeling Languages, OAuth, Open Source, Privacy Controls, Product Development, Product Support, Single Sign-On (SSO), Software Administration, Software Engineering, Source Code/Configuration Management (SCM), System Integration (SI), Systems Administration/Management, Test Plan/Schedule ## Description This role offers the opportunity to build enterprise-grade capabilities that enable the safe, secure, and private consumption of GenAI by customers, as Protegrity accelerates its AI-driven strategy at a pivotal moment in the market. What You'll Do * 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. ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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