GenAI Platform Engineer

Responsibilities: Design and oversee end-to-end implementation of the generative AI platform and related use cases Develop architecture for AI software and hardware integration emphasizing quality, performance, resiliency, and reusability Collaborate with business and IT stakeholders to meet organizational objectives Lead cross-disciplinary teams to deliver solutions aligned with priorities Prioritize and execute complex tasks across the software development life cycle Establish standards and drive automation for SDLC efficiency Mentor team members on technical design and development best practices Drive platform performance, scalability, and resiliency testing Implement hardware upgrades and software enhancements to meet global performance expectations Address regulatory and localization requirements for infrastructure and platforms Research and prototype new solutions to enhance capabilities Monitor AI/ML/data science trends to drive continuous innovation

Key requirements: Seven or more years of Python development experience Proven experience designing and implementing multi-tier application platforms including microservices Ability to plan and lead delivery with geographically dispersed, functionally diverse teams Strong Python and Unix scripting skills Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) Relational databases (Oracle or MySQL) and NoSQL databases (MongoDB) Experience with FastAPI and processing large structured and unstructured data Front-end basics: HTML, CSS, JavaScript, React, jQuery collaboration mentoring stakeholder communication Python Unix scripting LLMs and RAG