Large Language Models (LLMs) Jobs

I’m looking to harden our Wide Area Network against the latest JADEPUFFER strain that is exploiting unsecured endpoints. The immediate priority is network-level vulnerability mitigation; we have already confirmed that these endpoints are the entry point for the threat. While spear-phishing defenses and general malware scanning remain on our roadmap, the focus right now is a purpose-built neutralization layer that can out-adapt the attacker’s tooling. Here is what I need built and handed over: • A modular “shell-buster” utility written in Python and ShellScript that detects, contains, and disables JADEPUFFER artifacts on any endpoint connected to the WAN. • A lightweight GENAI / LLM component that continuously learns from captured payloads, updating det...

Senior AI SaaS Platform Architect / Lead Backend Developer Project details:- We are building an enterprise-grade AI SaaS platform for Lyrics, Music, Voice, and AI Video generation. * Multi-Tenant Architecture * White-label Platform * AI Gateway * Control Plane * AI Plane * Organizations * Credits & Wallet * Developer Platform * Provider Adapter Architecture * Feature-Based Subscription Engine * Credits & Wallet System /Billing * SDK Platform * Developer Platform * Enterprise API Platform * AI Job Queue * GPU Workers * SDK * Storage * Analytics * Notifications * Admin Portal * User Dashboard * Admin Dashboard * API/Partner Portal * Super Admin Panel # What You Will Build The platform includes: * AI Gateway * Lyrics Engine * Music Engine * Voice Engine * Video Engine * Prov...

## About the Role We are looking for an experienced AI/ML Engineer who combines a strong foundation in traditional Machine Learning and Data Science with hands-on expertise in modern Generative AI systems. This role requires someone who can build production-ready ML solutions, develop intelligent LLM applications, design multi-agent systems, implement Retrieval-Augmented Generation (RAG), and deploy scalable AI services using modern MLOps practices. You'll work across the full AI lifecycle—from data preparation and model development to deployment, monitoring, and continuous improvement. --- ## Responsibilities * Design, build, and deploy end-to-end machine learning solutions. * Develop predictive models using classical ML algorithms for structured and unstructured data. * ...