Job description Corprex builds on-premises AI infrastructure for regulated enterprises. Think sovereign, private AI deployments for manufacturers, utilities, financial firms, and law firms. We keep sensitive data off the cloud entirely. We're a lean, fast-moving startup and we need a senior full stack developer to own a broad scope: our cloud-hosted SaaS portal, customer-facing dashboards, internal platform tooling, and integration work that ties into our on-prem Omega platform. You'll be working directly with the CEO. What you'll work on → Single-tenant cloud SaaS portal (new build) — the hosted version of our on-prem product → Customer-facing dashboards for AI usage, document access, and activity monitoring → REST API development and integration with our backend AI platform → Active Directory / SSO integration work for enterprise deployments → Demo environments and sales-facing tooling used in Fortune 500 prospect demos → Internal ops tooling as needed Requirements → US-based, available during Eastern or Central business hours → 5+ years full stack experience — strong backend required (Node.js, Python, or similar) → React or Next.js on the frontend → Cloud deployment experience — AWS, GCP, or Azure → Comfortable working in a startup environment with minimal oversight → Experience with enterprise auth (Active Directory, LDAP, SAML, or OAuth) is a strong plus → Prior work on AI-integrated products (RAG pipelines, LLM APIs, vector DBs) is a plus Engagement details Scope: Ongoing / retainer Hours: Part-time to full-time Location: US only To apply, answer these in your proposal 1.What's a backend-heavy project you've shipped end-to-end? Briefly describe the stack and your role. 2.Have you worked with enterprise auth (AD, SAML, SSO)? If yes, in what context? 3.What's your availability and hourly rate?

We are looking for a hands-on senior Python/FastAPI trading-system developer with strong testing, debugging, and broker API experience. This person should be able to work inside an existing codebase, identify what is breaking, fix the issues, and prove the fixes with tests, logs, API output, and dashboard evidence. Ideal experience: • Python backend development • FastAPI • MongoDB • Heroku logs and deployment workflow • React/TypeScript frontend debugging • Alpaca API or similar broker API experience • Trading bot lifecycle experience • Automated testing and regression testing • Market data, candle/bar data, indicators, and timestamp handling • Ability to trace scanner → scoring → decision → order readiness → position state → sell/hold logic This is not a rebuild project. The goal is to test and repair the current system.

We need a senior Python developer to build a custom internal research tool for our healthcare AI consultancy. The tool runs 75 standardized queries across six AI platforms in parallel, captures structured responses and citations, and writes results to an Excel template for analysis. What you're building A Python application with three components: Six API adapters: OpenAI (ChatGPT), Anthropic (Claude), Perplexity, Google (Gemini), xAI (Grok), and SerpAPI (for Google AI Overviews). All hit the official APIs and return a normalized response object. Async orchestrator that fires all 75 queries in parallel across the six platforms, handles retries and rate limits, tags client domain and competitor mentions in real time, and writes results to a provided Excel template. Streamlit UI for click-to-run operation, with engagement metadata input, live progress monitoring, results preview, plus Google Drive upload and Slack notification integrations on completion. Deliverables Six platform adapter modules with normalized response interface Async orchestrator with error handling and retry logic Excel writer (we provide the template) Streamlit dashboard Google Drive and Slack integrations README, setup guide, and operator documentation Test suite covering 70%+ of code paths All code in a GitHub private repo owned by us What we provide at kickoff Detailed architecture document and UI specification AHS Excel scan template, production-ready Full 75-query taxonomy All six API keys, provisioned and shared via 1Password Sample completed scans for reference Direct Slack access to the project lead Timeline and process 10 business days from kickoff to delivery Fixed price, paid in three milestones (30% / 40% / 30%) $500 bonus if delivered on or before business day 8 Daily commits to the repo required Weekly Friday sync at 10am ET Mutual NDA signed before access to query taxonomy Required skills 5+ years Python with strong asyncio experience Hands-on experience with at least 3 of: OpenAI API, Anthropic API, Perplexity Sonar API, Google Gemini API, xAI Grok API, SerpAPI openpyxl for Excel manipulation Streamlit for UI Google Cloud OAuth for Drive integration Slack API for notifications Strong Git/GitHub workflow Out of scope Query design, AI scoring synthesis, deck generation, mobile, and multi-user authentication. This is one focused tool with a clear endpoint. Please answer in your proposal Walk us through a recent Python project that integrated 3+ third-party APIs. What broke and how did you fix it? Which of the six APIs in scope have you used in production? What's your approach to rate limits and transient failures across async API calls? What scope questions do you have before bidding? Not a fit if You've never integrated more than two LLM APIs, you're uncomfortable with fixed-price contracts, or you can't commit to daily commits on a 10-business-day timeline.

Website audit and bug fix. Integrations to: Yoti, Twilio, Vultr, Wasabi, MassPay, and PaymentCloud.