AI Developer/Lead Position
Overview

Lead the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. This role combines technical leadership with hands-on development, driving our aggressive 6-week implementation cycles and multi-modal development approach.

Key Responsibilities:

Technical Leadership
? Lead technical design and architecture decisions for AI applications across all classification categories
? Oversee PoC development, bug fixes, iteration, and production builds
? Implement and maintain open-source AI foundations (Llama, Haystack, LlamaGuard)
? Design and manage synthetic data pipelines for training and analytics
? Ensure deployment and go-live support for all AI applications Development Strategy Execution
? Drive accelerated creation using AI-powered development tools (Replit, Windsurf, Cursor) for rapid prototyping

 Manage complete development lifecycle: initial AI-assisted development ? manual code refinement ? user feedback integration ? production deployment
? Deploy applications directly on organizational servers with robust CI/CD processes
? Collaborate with global contributor network through GitHub
? Contribute insights back to the nonprofit technology community
?Integrate OSINT information into research and analytics workflows Application Development Focus Areas
? Basic automation for meeting reports, eCourts monitoring, administrative workflows
? Custom data management platforms replacing Excel-based systems
? Specialized LLM chatbots with domain knowledge across multiple functions ? Multi-modal tracking solutions (image, video, audio, location data)
? ML/NLP tools for hotspot prediction, translation services, investigative tools
? Compliance applications with automated DPDP and regulatory adherence
? Cybersecurity integration with secure communication frameworks

Required Qualifications
? 5+ years 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 (like Groq/Cerebras) and API integration
? Strong background in server deployment and infrastructure management
? Experience with AI-assisted development tools (Replit, Cursor, Windsurf)
? Strong background in open-source development and GitHub collaboration
? Experience transitioning from rapid prototypes to production-ready applications
? Proven ability to deliver production applications in aggressive timelines
? Experience working with distributed international teams across multiple time zones

Preferred Qualifications
? Experience with multi-modal AI applications
? Knowledge of both cloud-based inference services and self-hosted model deployment
? DevOps experience with server management and deployment automation