Gen AI Platform Engineer

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

Benefits