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Senior GenAI Backend Software Engineer (773)
Protegrity
Menlo Park, Vereinigte Staaten
Veröffentlichungsdatum: 30.08.2026
We are seeking a senior software engineer with experience in backend API development, deployment on Kubernetes, familiarity with Generative AI (GenAI) application backend engineering. This role offers the opportunity to be hands-on and 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.
Responsibilities
Develop, test, and maintain Python based backend applications running on Kubernetes; Integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into our product features; Support GenAI team's platform infrastructure for experimentation and evaluations; 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 GenAIRequirements
7+ years of experience in backend software engineering with experience productionizing agentic harnesses; Experience building and shipping customer-facing Kubernetes-based software platforms, including Helm charts, infrastructure automation, and deployment tooling; Expertise developing REST APIs across services in Kubernetes; Familiarity with version control tools, CI/CD pipelines and DevOps practices; Experience integrating and managing LLMs and prompt tracing platforms; Experience integrating databases into backend systems, including vector databases; Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.; Strong skills cloud environments (e.g., AWS, Google Cloud, Azure); Must consent to and successfully complete a background investigationBenefits
Competitive salary; Comprehensive benefits; Generous vacation and holiday time off; Access to ongoing learning & developmentSo bewerben Sie sich
Online bewerben: https://www.jobs.pl/de/oferta/100022655/aplikuj
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