Identity AI / ML Engineer

NOTE: Minimum Exp: 12+ Years required

Role Overview:

We are looking for an AI Platform Engineer-a builder who can architect the "factory" where AI is made. Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.

Key Responsibilities:

• Platform Architecture : Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
• RAG-as-a-Service : Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
• Tooling & Libraries : Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
• Infrastructure Management : Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
• Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
• CI/CD Integration : Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
• Compliance & Guardrails : Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.

Required Technical Skills:

• Expert Python : Deep, hands-on knowledge is mandatory.
• Data Engineering : Extensive experience in massive data ingestion and processing.
• RAG Expertise : Deep understanding of vector databases, inferencing, and advanced chunking strategies.
• Platform Engineering : Proven experience building tools/platforms that other developers or business units use.
• Infrastructure Knowledge : Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
• DevOps : Familiarity with Jenkins, Ansible, and automated deployment pipelines.

Experience & Qualifications:

• Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (12-15+ years)
• Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
• Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
• Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.

For applications and inquiries, contact: hirings@openkyber.com