AI Developer/Lead Position

As an AI Developer/Lead, you will be responsible for leading the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. Your role will involve technical leadership and hands-on development, driving aggressive 6-week implementation cycles and a multi-modal development approach. Your key responsibilities will include: - Leading technical design and architecture decisions for AI applications across all classification categories - Overseeing PoC development, bug fixes, iteration, and production builds - Implementing and maintaining open-source AI foundations such as Llama, Haystack, and LlamaGuard - Designing and managing synthetic data pipelines for training and analytics - Ensuring deployment and go-live support for all AI applications In terms of development strategy execution, you will: - Drive accelerated creation using AI-powered development tools like Replit, Windsurf, and Cursor for rapid prototyping - Manage the complete development lifecycle from initial AI-assisted development to production deployment - Collaborate with a global contributor network through GitHub - Integrate OSINT information into research and analytics workflows Your application development focus areas will include: - Basic automation for meeting reports, eCourts monitoring, and administrative workflows - Developing custom data management platforms to replace Excel-based systems - Building specialized LLM chatbots with domain knowledge across multiple functions - Implementing multi-modal tracking solutions for image, video, audio, and location data - Using ML/NLP tools for hotspot prediction, translation services, and investigative tools - Developing compliance applications with automated DPDP and regulatory adherence - Integrating cybersecurity with secure communication frameworks Required qualifications for this role include: - 5+ years of experience in AI/ML development and deployment - Proficiency in Python, JavaScript, React, and modern AI frameworks - Experience with LLM integration, fine-tuning, and safety models - Hands-on experience with inference engines and API integration - Strong background in server deployment and infrastructure management - Experience with AI-assisted development tools, open-source development, and GitHub collaboration - Proven ability to deliver production applications in aggressive timelines - Experience working with distributed international teams across multiple time zones Preferred qualifications include experience with multi-modal AI applications, knowledge of cloud-based inference services and self-hosted model deployment, and DevOps experience with server management and deployment automation.,