We are a non-profit organization based in the southwestern US (Arizona & New Mexico) with 50–60 employees ready to deploy on government and utility contracts. We are looking for a highly skilled AI engineer to build us an end-to-end automated bidding and contract acquisition system from scratch.

This is a mission-critical role. You will design, build, and maintain a system that:

Core System Requirements

Automatically searches and monitors ---------- , Arizona state procurement (AZProcure), New Mexico state procurement, and utility vendor portals (SRP, APS, PNM, El Paso Electric, TEP, NTUA) for new opportunities Filters and scores opportunities based on our capabilities, workforce size, location, NAICS codes, and set-aside eligibility Automatically drafts and formats bid proposals and capability statements using open-source LLMs running on our own server (NOT OpenAI/ChatGPT — we need this to run on infrastructure we own and control) Tracks bid deadlines, submission requirements, and follow-up schedules Manages the full lifecycle: opportunity discovery ? bid/no-bid decision ? proposal draft ? submission ? award tracking ? follow-up Sends alerts and status updates to our team

What You Must Know

---------- API and federal procurement data feeds State procurement portals and how to scrape/monitor them Proposal writing best practices for government contracts Python, REST APIs, web scraping (Playwright/Selenium/BeautifulSoup) Deploying and running open-source large language models locally (Ollama, vLLM, llama.cpp, or similar — you must have hands-on experience with self-hosted LLMs) RAG (Retrieval Augmented Generation) for document processing and proposal generation Building automation pipelines and dashboards n8n, ---------- , or similar orchestration tools are a plus but not a substitute for real AI engineering skills

Ideal Background

Experience with government contracting or procurement automation Has built proposal generation or RFP response systems Familiar with set-aside programs (8(a), HUBZone, non-profit contracting) Can work independently and deliver a working MVP within 30–60 days

SCHEDULE: Part-time to start, growing to full-time as the system is built. Must be available during US Mountain Time (MST) business hours for coordination.

What To Include In Your Application

Have you built any government contracting, bidding, or proposal automation systems? Describe what you built. Have you deployed open-source LLMs on a private server? Which models and tools did you use? Are you familiar with ---------- 's API or similar procurement data feeds? What is your proposed approach to building this system? Your desired hourly rate and availability.