Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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

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