Gen AI Platform Engineer

About the job Gen AI Platform Engineer We are looking for a Generative AI Platform Engineer to design, build, and scale enterprise-grade AI platforms and APIs that enable the adoption of large language models and generative AI capabilities across the organization. This role is focused on platform engineering, not just model experimentation - you will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. You will work closely with software engineers, data scientists, and product teams to deliver reusable AI infrastructure, developer-friendly APIs, and production-ready solutions.Key ResponsibilitiesDesign and build scalable Generative AI platforms, services, and APIs for internal and external consumersDevelop and maintain high-performance backend services using Python and one or more of C++, C#, or JavaIntegrate and operationalize LLM and foundation model APIs, including: Azure OpenAI Google Vertex AI AWS BedrockBuild abstraction layers and orchestration logic to support multiple model providers and deploymentsDesign RESTful and/or gRPC APIs with a strong focus on reliability, security, and performanceImplement platform capabilities such as: Prompt management and versioning Model routing and fallback strategies, Observability, logging, and monitoring Cost and usage tracking Deploy and operate services on Google Cloud Platform (GCP), leveraging managed services where appropriate Support CI/CD, infrastructure-as-code, and production operationsContribute to platform architecture decisions and engineering best practicesRequired Qualifications7+ years of professional software engineering experienceBachelors degree in Computer Science or a related field (Masters degree preferred)Strong proficiency in Python Strong experience in at least one of the following: C++, C#, or JavaProven experience building platforms, frameworks, and APIs (not just applications)Hands-on experience with Google Cloud Platform (GCP)Practical experience integrating with cloud-hosted AI/LLM APIs, including Azure OpenAI, Vertex AI, and/or AWS BedrockStrong understanding of API design, distributed systems, and cloud-native architecturesExperience taking systems from design through production deployment and operationPreferred QualificationsExperience designing multi-tenant or enterprise AI platformsFamiliarity with MLOps or LLMOps concepts (model lifecycle, monitoring, evaluation)Experience with containerization and orchestration (Docker, Kubernetes)Knowledge of authentication, authorization, and secure API designExperience supporting developer platforms or internal toolingWhat Were Looking ForA platform-first mindset - you enjoy building reusable systems that enable other teamsStrong engineering fundamentals and attention to production qualityComfort working across cloud services, APIs, and distributed systemsAbility to collaborate with both technical and non-technical stakeholders