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Description
Role Overview We are hiring a GenAI Platform Engineer to build and manage secure, scalable Generative AI infrastructure. This role focuses on configuring Enterprise GPT platforms, managing identity integrations (SSO), connecting internal data sources, and enabling RAG (Retrieval-Augmented Generation) use cases. Key Responsibilities Set up and secure Enterprise GPT instances Integrate with SSO and manage access controls Build APIs and connectors to internal data sources Build APIs for RAG and Agentic AI solutions Ensure data privacy, security, and compliance Collaborate with data, security, and product teams Deploying Applications, Application Servers, Virtual Machines, Databases, Serverless Components, and other infrastructure services both on Cloud and On-Prem Requirements Required Skills : Experience working with Linux/UNIX systems, Docker & Kubernetes, Cloud (such as Azure, AWS) Python and/or Node.js API development and integration SSO and identity management (OAuth, SAML, etc.) Familiarity with Databricks and data workflows Database experience, including knowledge of SQL and NoSQL, and related data stores such as Postgres Data security and privacy best practices Good To Have RAG and GenAI implementation experience Experience with vector DBs (e.g., FAISS, Pinecone) Knowledge of LangChain, LlamaIndex, or similar tools Awareness of networking and internet protocols, including TCP/IP, DNS, SMTP, HTTP, and distributed networks and security concepts Mandatory Skills : Python, Docker, Kubernetes, Databricks, Azure, AWS, SQL Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well. (ref:hirist.tech) Show more Show less
