We are building a production SaaS platform called MarketLens, designed for investment teams and analysts who need real-time market intelligence combined with AI-generated insights and portfolio tracking tools. What You’ll Do - Build and maintain the core backend services in Python (FastAPI / Django) - Develop frontend dashboards using React (TypeScript preferred) - Integrate real-time data pipelines (WebSockets, streaming APIs, or message queues) 1. Implement AI features such as: 2. Market summarization using LLMs 3. Portfolio risk explanations 4. Automated insight generation from time-series data - Design and maintain scalable APIs for analytics and user data - Work on subscription and billing logic (Stripe integration) - Improve system performance, especially around data freshness and dashboard latency - Participate in architecture decisions for scaling AI + data workloads Our clients are small to mid-sized hedge funds and financial advisory teams who currently rely on fragmented tools like Bloomberg exports, spreadsheets, and separate analytics dashboards. MarketLens aims to unify all of this into a single workflow.

We are seeking a Mid to Senior-level Fullstack Developer (3–5 years of experience) to not only maintain and expand our platform (Next.js frontend + Django backend) but also guide us in fully integrating AI-powered coding assistance across the full stack. The frontend is already set up for AI-assisted editing (e.g. Cursor), and we want to evolve our backend similarly. The ideal candidate will help us transition the entire development environment, so both we and the developer can leverage state-of-the-art AI coding tools. Beyond coding, you’ll act as a mentor, helping us better understand the backend’s architecture and workflows while integrating AI-driven development tools into our process. You’ll have a key role in making our stack both stable and future-ready, with AI-assisted flexibility. The Context Our frontend was recently ported to Next.js in an ad-hoc manner, leaving certain sections in need of refactoring and stabilization. We have committed to keeping our backend in Django to leverage its robust processing capabilities. You will be the point person for bridging these two environments. Key Responsibilities -Maintenance & Stability: Perform routine maintenance and optimization across the full stack. -Bug Fixing: Identify and resolve issues within the existing Next.js frontend and Django backend. -System Reliability: Provide technical support and troubleshooting during system downtime. -Feature Implementation: Build and deploy new features, ensuring seamless integration between the AI pipeline and the user interface. Required Technical Profile -3–5 years of professional fullstack experience. -Frontend: Proficiency in Next.js and React; experience cleaning up/refactoring "messy" or legacy codebases is a plus. -Backend: Strong experience with Django (Python), specifically working with complex data pipelines or API integrations. -Mindset: A pragmatic approach to coding—balancing the need for new features with the necessity of technical debt reduction.

About Us We are a forward-thinking AI enterprise software company building governance solutions. Our systems combine Python engineering, Natural Language Processing, and Machine Learning to deliver secure governance solutions. We’re seeking a Back-End Python Engineer with expertise in AWS deployed applications, GITHUB CI/CD pipelines, DJANGO, ML Pipelines, Endpoint Integration, Sagemaker, containerization, Use of AI to design front end applications and debug code. Key Responsibilities Design, develop, and maintain back-end services in Python to support software application Debug Application for Quality and Assurance Build Data Connectors for Application Integration Implement new features with front end design as needed Containerize and deploy services across AWS infrastructure. Build and scale RESTful APIs and microservices (Django + DRF) that integrate into automated pipelines. Tune system performance (network, I/O, memory, GPU utilization) for optimization. Architect and maintain databases (SQL & NoSQL), ensuring query optimization, high availability, and caching (Redis). Integrate background processing (Celery) and real-time communication (WebSockets) into containerized environments. Collaborate with DevOps, front-end, and AI/ML teams to deliver end-to-end automated workflows. Apply best practices in system design (SOLID, DRY, KISS), Python standards (PEP8), and secure infrastructure deployment. Qualifications Core Skills Proficiency in Python (OOP, async, functional programming, data structures). Expert-level knowledge of AWS Infrastructure (deployment, operators, CI/CD, scaling). Strong background in containerization (Docker, Podman) and Kubernetes-native orchestration patterns. Experience supporting AI Dev automation workflows and integrating back-end services with automated pipelines. Deep knowledge of Django & DRF: ORM, serializers, view sets, permissions, HTTP methods. Advanced database design & optimization for high-throughput applications. Familiarity with Redis caching, Celery task queues, and uWSGI/ASGI communication layers. Solid testing skills (pytest/unittest) and CI/CD pipelines with Git. Preferred Expertise Hands-on experience with GPU-enabled workloads and hardware acceleration in containerized environments. Familiarity with infrastructure automation tools (Ansible, Terraform, or similar). Agile/Scrum team experience and use of task tracking (Jira, Trello). What We’re Looking For We want an engineer who: PRIORITIZES SECURITY OF SYSTEMS AND INFRASTRUCTURE ACROSS SECURITY FRAMEWORKS Builds automation-first systems that support AI Dev workflows from code to deployment. Thinks about performance and scalability at the infrastructure + software level. Collaborates across teams (DevOps, AI/ML, product) to deliver fully integrated, automated platforms.

About the Role: We are seeking a highly qualified Senior Machine Learning and Natural Language Processing Engineer with deep expertise in sentence parsing, contextual understanding, categorization, and language extraction to support and advance Sybal’s Proof of Governance® (PoG™) platform. This role blends advanced NLP engineering, full-stack development, and enterprise-grade deployment. You will design custom NLP models, build scalable AI-driven services, and deploy production-ready applications that transform raw policy and technical language into structured governance intelligence. You must be a senior-level full-stack engineer proficient in Python, Django, JavaScript, HTML, and CSS, with the ability to dockerize and deploy applications into production environments. Experience commercializing enterprise AI applications is required. You should also be familiar with using agentic AI tools in a development context—for debugging, workflow acceleration, rapid prototyping, and improving engineering efficiency. ________________________________________ Key Responsibilities: NLP & Machine Learning Engineering: • Build advanced NLP models for sentence parsing, context detection, semantic analysis, entity extraction, and policy language interpretation. • Develop hybrid ML + rule-based systems that support governance modeling and policy decomposition. • Create pipelines for text ingestion, annotation, categorization, and structured language extraction. • Design evaluation frameworks for accuracy, drift, reliability, and linguistic precision. • Research and implement non-LLM NLP methods relevant to governance and policy analysis. Full-Stack Engineering: • Develop production-ready applications using Python (spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models), Django, JavaScript, HTML, CSS, and modern tooling. • Further develop NLP models for PoG™ Feature enhancements. • Develop and maintain secure, scalable REST APIs and backend services. • Integrate ML components seamlessly into PoG™’s architecture. Production Deployment & DevOps: • Dockerize machine learning pipelines and full-stack applications for uniform deployment. • Deploy and manage services in cloud production environments (AWS, GCP, or Azure). • Set up CI/CD pipelines, monitoring, observability, and scalable containerized processes. • Ensure production performance, uptime, and system reliability. AI Automation for Engineering Efficiency: • Use agentic AI tools to assist with debugging, test generation, workload orchestration, and internal development workflows. • Integrate AI-assisted coding tools responsibly into engineering processes. Contribute to the Proof of Governance® Platform: • Build NLP and ML components that strengthen PoG™’s ability to: • Map policy language into structured governance data • Detect enforceability gaps • Identify policy dependencies and contextual interactions • Deliver measurable, enforceable governance intelligence • Collaborate with PoG™ architects to extend platform intelligence across governance domains. ________________________________________ Qualifications: Required Skills & Experience: • 6–10+ years of software engineering experience with specialization in ML and NLP. • Mastery of sentence parsing, syntax/semantic analysis, dependency modeling, and contextual extraction. • Proven experience commercializing enterprise AI or ML-driven applications. • Proficiency in: o Python o Django o JavaScript o HTML / CSS • Demonstrated ability to dockerize applications and deploy them into production. • Strong understanding of ML architecture, data modeling, distributed systems, and backend engineering. • Experience using agentic AI tools for engineering workflows (debugging, code analysis, test generation). • Strong cloud engineering experience (AWS, GCP, Azure). Preferred Qualifications: • Background in computational linguistics or structured policy analysis. • Experience with ontologies, taxonomies, or governance modeling. • Prior work in regulated, audit-heavy, or mission-critical environments. • Contributions to high-scale enterprise software platforms. ________________________________________ Who You Are: • You excel in both advanced NLP engineering and full-stack software development. • You can design systems end-to-end—from custom algorithms through front-end integration to production deployment. • You understand how to use AI to accelerate development processes. • You are driven by building systems that transform governance from assumption to measurable, enforceable proof. • You are excited to contribute to the continuous evolution of PoG™

We're a productized AI service running an agent runtime — one isolated instance per customer — on a stack of FastAPI, Next.js 14, Postgres, and Docker. We're past MVP and into production hardening: real customers, real revenue, real SLAs. Inherit and improve the existing FastAPI control plane (routes, async SQLAlchemy 2.0 + asyncpg, Pydantic, JWT, Stripe billing, APScheduler) Tighten the Next.js 14 / React 18 / Tailwind / Clerk auth frontend Improve security posture: per-tenant row-level security in Postgres, input validation, rate limiting Performance pass: SSE streaming, DB query optimization, caching layer Work alongside an AI agent engineer and a Twilio specialist (separate hires) Required: 7+ years full-stack production experience Deep FastAPI + async Python (NOT a Flask/Django person retrofitting) Next.js 14 App Router + TypeScript at production scale Postgres at scale — async drivers, RLS, query planning Docker, comfortable with Render or similar managed infra Comfortable inheriting a working codebase — you read before you rewrite Nice to have: Multi-tenant SaaS architecture experience Stripe metered billing Clerk or similar managed auth Sentry, observability Have inherited and improved an AI/LLM-adjacent platform before How we work: This is an ongoing engagement, not a one-off. 20–30 hrs/week. Async-friendly but US time zones strongly preferred for sync calls. We pay $80–150/hr depending on seniority. We are not the lowest bidder's client. Paid 4–8 hour trial task (real codebase work) before any retainer.

Senior Full-Stack Engineer — Canvas Medical EHR Lead Contract · Monthly retainer · Remote (US-based) · Ongoing -= DONT APPLY IF =- Not physically present in USA you're an AGENCY. I need 1 person. no middleman Generalists and "I can pick up Rails" applicants will not be a fit. If we can't see your projects on github dating back years (temp) you're not serious. Anyone who's thinking of making someone else do the work, go away. No time for games. Summary I'm hiring a senior full-stack engineer to lead the build-out and launch of a longevity-medicine platform: B2B formulary ordering for licensed providers, plus a patient prescription and reorder portal, built on Canvas Medical (a programmable, ONC-certified EHR). The design and product logic are set. I need someone who configures the EHR, builds the integrations, finishes the frontend, ships it, and keeps it running. This is not a learn-on-the-job seat. It is a finisher seat. What you'll own Configure and extend Canvas Medical to the prescription, formulary, and patient-portal workflow by writing Python plugins on the Canvas SDK Integrate the platform over the Canvas FHIR (R4) API, including provider registration, ordering, billing, and the patient portal Finish and ship the product frontend and bind it to the API Handle deployment, uptime, and ongoing monthly support and iteration after launch Stack Python (Canvas SDK plugins run inside the EHR) Canvas FHIR R4 API (FastAPI-based); Django ORM for data access Frontend: finishing an existing web frontend and wiring it to the API Healthcare data handling under HIPAA Must have Senior-level Python. Non-negotiable. The SDK is Python. Hands-on FHIR / healthcare data integration. This is the differentiator and the first thing I screen for. Experience with Canvas Medical or a comparable EHR or health-data platform (Medplum, Redox, Health Gorilla, or similar) HIPAA and PHI handling experience. This is a live EHR with patient data, not a storefront. Frontend competence to finish a web app and connect it to a REST/FHIR API A track record of shipping. Links to live work, not a list of frameworks. Strong async communication and reliable follow-through Nice to have Direct Canvas SDK plugin experience (Events, Data, Effects) Prior digital-health, telehealth, or pharmacy-tech product work Experience taking a stalled or unfinished product across the finish line Engagement Contract, paid on a monthly retainer Remote, US-based for this lead role Long-term: build phase first, then ongoing support. I'm looking for a durable relationship, not a one-off. To apply In your reply, include: Links to things you've shipped, FHIR and EHR work prioritized One example of a project you took from stuck to done, and what you did? Whats your favorite car? Your monthly availability in hours? Thanks

**Overview** We are a fast-growing SaaS company with a lean engineering team (~10 devs) utilizing a modern Python (FastAPI/Django) and Node.js backend, React frontend, and PostgreSQL stack. We have already deployed an initial multi-model agent stack—Claude Code, LiteLLM gateway, Git worktrees, and MCP integrations. We need an expert to run an intensive architecture review and optimization session for our current infrastructure. We are not looking for someone to build a full-time, weeks-long project from scratch. Instead, we need a seasoned engineer who has shipped this exact type of infrastructure end-to-end to audit our setup, identify architectural gaps, and guide our team on hardened implementation. This project must move fast. If your timeline is measured in weeks, please do not apply. We want someone who looks at this scope, jumps into a review session, and delivers actionable architectural guidance in days. This starts as a focused, urgent consultation. However, we expect ongoing advisory work—follow-ups, architecture adjustments, and enhancement reviews—as the AI tooling landscape shifts. For the right engineer, this will turn into a recurring relationship. We are completely open to a fixed price per milestone or an hourly structure. **What You Need to Have Actually Shipped and Can Review (Not Just Read About)** * **Full Agentic Coding Harnesses:** The entire loop: orchestrator → subagent → CI gate → merge loops. * **Isolation Layers:** Configured execution layers (such as E2B, Modal, or secure Docker runtimes) as isolated sandboxes for AI-generated code. * **Parallel Claude Code Sessions:** Managed multiple simultaneous subagents on scoped tasks via Git worktrees. * **Self-Hosted LiteLLM Gateways:** Routing to multiple models (Claude, GPT, Gemini, DeepSeek). * **MCP Server Infrastructure:** Connected file system, PostgreSQL, Atlassian, and Slack tool layers for active agents. * **Agent Framework Structures:** Used CLAUDE.md, COMMON\_MISTAKES.md, subagent role definitions, hook scripts, and settings.json. * **Human-in-the-Loop Orchestration:** Built Plan Mode or equivalent approval gates before agent execution. * **Multi-Agent Frameworks:** 7-agent feature factory patterns or frameworks like LangGraph, CrewAI, or Autogen. * **Durable Workflow Engines:** Applied Temporal, n8n, or similar tools for long-running agent workflow execution. * **Mechanical Quality Gates:** Treating CI green as the ultimate gate for agent output quality. \[[1](https://manveerc.substack.com/p/ai-agent-sandboxing-guide)\] **Our Current Stack (What you are reviewing)** * **Backend:** Python (FastAPI / Django) & Node.js (TypeScript) * **Frontend:** React (Next.js) * **Database & ORM:** PostgreSQL / Prisma / SQLAlchemy * **Infrastructure:** Docker Compose, AWS (ECS/EKS) * **CI/CD:** GitHub Actions / GitLab CI * **AI Layer:** Claude Code with shared `.claude/` directory, CLAUDE.md, and LiteLLM gateway in Docker * **MCP:** Atlassian (Jira/Confluence), custom PostgreSQL MCP server, Slack * **Workflow Automation:** Temporal / n8n * **QA Automation:** Playwright / Autonoma **Scope of Work (Review & Advisory Only)** 1. **Comprehensive Audit:** Audit our current agent harness and identify architectural gaps against a production-grade standard. 2. **Sandbox Strategy Consultation:** Review our environment strategy to ensure highly secure, isolated execution runtimes for agent code runs. 3. **Workflow Hardening Review:** Evaluate our parallel agent workflow setup (Git worktrees, subagent role configs, hook scripts, and settings lockdown). 4. **CI Pipeline Integration Strategy:** Advise on wiring our sandbox execution layer into the existing CI pipeline so agent-executed code runs in clean snapshots, not live infra. 5. **Architectural Runbook:** Deliver an optimization report / documented standard that our backend lead can easily own and execute going forward. **How to Apply** Skip the generic pitch. Show us something real to be considered: 1. A GitHub repo, architecture diagram, or Loom walkthrough of an agentic harness you have actually shipped. 2. Specific tools from our stack you have personally configured (E2B, LiteLLM, Claude Code, etc.). 3. One sentence explaining the hardest problem you solved to get full agent loops running reliably. 4. Your availability to conduct this high-impact architectural review session this week.

🚀 Freelance Full Stack Developer Wanted for A Mobile APP MVP  We’re looking for a medical app developer to develop a mobile app MVP. We're looking for a skilled Full Stack Developer to bring our product vision to life. This is a freelance opportunity, perfect for someone who knows how to deliver an MVP that’s functional and launch ready.   Must be US based.  🗓️ Target MVP Launch:  ---🔧 What You’ll Do: · Design and develop the front-end (mobile-first) and back-end of our MVP from scratch.  · Collaborate closely with the founders to translate product ideas into functional features.  · Build a clean, responsive, and user-friendly mobile UI.  · Set up secure user authentication, data storage, and scalable APIs.  · Deploy and maintain the MVP in a cloud environment.  --- 🛠️ Tech Stack We’re Looking For: We're flexible — but preference will be given to developers experienced with: · Frontend: React Native or Flutter  · Backend: Node.js, Express (or Python/Django if that's your strength)  · Database: Firebase, PostgreSQL, or MongoDB  · Cloud: Firebase, AWS, or other serverless platforms  · Platform(s): iOS, Android, both, (including web + mobile a plus) · Key Features: user registration, data capture (including pictures), analytics dashboard, HIPAA compliance, push notifications).  · Health/Security/Regulation: we need developers experienced with health-app regulations (HIPAA, GDPR, etc.), data security and privacy.  · Deliverables & Timeline: Will provide milestones.  · Team vs Individual: Single freelance developer or a small team preferably (designer + backend + mobile).  · Experience / Portfolio Requirements: Please provide examples of prior health apps or mobile apps you’ve built.  · Communication & Location: Time Zone is ET. • The signing of the organization NDA is REQUIRED before any discussion or engagement.

JOB TITLE: Technical Advisor / Fractional CTO (Part-Time MVP Oversight) PROJECT TYPE: Mobile-First Progressive Web App (PWA) – TIME COMMITMENT: ~2 to 3 hours per week (Milestone-based review) DURATION: 4 to 5 Months (Duration of MVP build) COMPENSATION: [Flat Fee Monthly Retainer] ABOUT THE PROJECT We are launching a highly secure, niche online Progressive Web Application (PWA) tailored specifically for medical and healthcare professionals (Doctors, Nurses, EMTs, and Ancillary staff). The core features include a custom schedule/shift-matching query, a hybrid user-verification system (integrating the free US Federal NPI Registry API alongside manual photo badge uploads via Cloudinary), premium tier setups via Stripe Billing webhooks, and third-party chat infrastructure (CometChat/Sendbird). We are hiring an external software development agency to build the MVP. We require an independent, highly skilled Technical Advisor to represent our interests, audit deliverables, and ensure strict code quality. ROLE RESPONSIBILITIES: As our Fractional Technical Advisor, you will act as our "Technical Shield" during the development lifecycle. Your responsibilities will include: Architecture Review: Review the development agency’s proposed database schema (PostgreSQL/MongoDB) and technical architecture blueprint before coding begins to ensure scalability. Milestone Code Auditing: At the conclusion of each project milestone (approx. every 3–4 weeks), log into our private GitHub/GitLab repository to inspect the agency's backend and frontend pull requests for clean documentation, code efficiency, and stability. Vendor Accountability: Attend milestone demo calls alongside the founder to ask technical questions, review functional staging links, and issue a "Pass/Fail" recommendation before milestone payments are released to the agency. Security & Vulnerability Check: Perform a high-level review of data security protocols—specifically ensuring that user-uploaded medical badges, personal identifiers, and Stripe webhooks are completely secure and not exposed via public URLs. REQUIRED QUALIFICATIONS: 5+ years of experience as a Senior Full-Stack Engineer, Technical Lead, or Engineering Manager. Deep production experience building and deploying modern Progressive Web Applications (PWAs). Strong mastery of React/Next.js, Node.js (Express), or Python (FastAPI/Django). Proven experience with third-party API infrastructure drops (specifically Stripe billing pipelines and real-time chat SDKs like Sendbird/Twilio/CometChat). Excellent communication skills and the ability to explain complex technical vulnerabilities or shortcuts to a non-technical founder in simple language. Strict Neutrality Constraint: You cannot be affiliated with or employed by any software development agency bidding on this project. Send resume with expected monthly retainer

Before you apply read this first.: This is not a standard contract. We are not looking for someone to build something and disappear. We are looking for a developer who genuinely cares about people experiencing homelessness and wants to be part of something that actually changes lives. If that is not you, this post is not for you. If it is keep reading. What Is Operation Iron Gate: Operation Iron Gate is a physical intake hub in Vallejo, California built specifically for the unsheltered. Any homeless person can walk through our door and receive help no matter what barriers they are carrying, no matter what their documentation looks like, no matter how many times they have been turned away before. The rule is simple: nobody gets denied. We call it Yes by Default. Instead of looking for reasons to say no, we look for the next valid move. Every single time.When someone walks in, a case gets opened immediately. Every barrier they are facing gets documented. A next step gets started before they leave the building. And the system tracks every single movement of that case every action, every referral, every handoff until they actually receive the resource they need. Not a phone number on a piece of paper. The actual resource. It sounds too good to be true. That is exactly why we built the technology to make it real. What You Are Building — Phase 1 Only: We are currently hiring for Phase 1 only. This is the core platform build. We are keeping it focused. Once the pilot launches in Vallejo and the system is proven in the real world, we will move into the AI layer and long-term development. But right now we need Phase 1 built right. The platform is called DSAS the Digital Steward Authorization System. It is the brain of Operation Iron Gate. Here is what Phase 1 covers: * Case creation engine when someone walks through the door, a case opens immediately. One screen, one submit. * Barrier capture system every barrier the person is facing gets documented and connected to a next action. * Yes by Default enforcement a denial without a legal reason code is blocked by the system itself at the database level. * Three-tier triage system urgent cases get a 2-hour movement deadline with auto-calculated countdown. * Steward escalation queue hard cases route instantly to senior reviewers who make binding decisions. * MDO Live View: real-time monitoring screen showing every active case, who owns it, where it is stuck, how long it has been sitting. * Automated alert engine fires when a case stalls, when a deadline is missed, when a partner does not respond. * Glass Dashboard public-facing transparency layer showing the community how the system is performing in real time. * All data feeds automatically from the system. No manual entry ever. * IGAC credential system when someone arrives without ID, a credential is issued immediately on Day 1 so the case can keep moving. * 7-role permission matrix enforced at the API level on every endpoint. * Append-only audit trail tamper-evidence logging. Nothing gets deleted or edited after it is written.. The full technical specification is already built: * Every database field is named. * Every logic rule is written. * Every automated alert is defined. * Every role permission is mapped. You are not figuring out what to build. You are building something that is completely designed and ready to be coded. Technical Requirements Required: * Strong backend / full-stack development 3+ years building complex platforms * Relational database expertise PostgreSQL or MySQL complex logic enforced at the database level * Role-based access control enforced at the API level * Automated alert engines time-based and condition-based triggers * Append-only audit logging with tamper evidence * Real-time data feeds * REST API development Strongly preferred: React or similar framework for front-end interfaces. Mobile-responsive design Access Points may operate from tablets and phones. Civic tech, social services, healthcare, or government platform experience. We are open to your stack recommendation. Tell us what you would use and why. Who We Are Looking For: We need someone who is technically strong. But more than that we need someone who reads about Operation Iron Gate and feels something. Someone who understands that every field in this database is a real person's life. Someone who will flag a problem in the spec before building it wrong. Someone who stays when things get hard. Someone who wants to be part of this mission not just compensated for it. If you are only here for the money, this is not the right fit. If you want to build something that matters we want to talk to you. Compensation: Read This Carefully: This is a fixed-price contract via Upwork with milestone-based payments. Here is exactly how it works and why we structured it this way. We are paying in four milestones. Every single payment is tied to something real being delivered and confirmed not just promised. * 25% on project start you have skin in the game from day one and so do we. * 25% when the database and core logic is confirmed complete confirmed by the developer handoff checklist, not by your word alone. * 25% when the full intake flow and MDO Live View is confirmed complete again, confirmed by the checklist. * 25% at final sign-off when every single item on every Tier 1 handoff checklist is confirmed complete Nobody gets paid until something real is delivered and confirmed. The checklist is the protection for both of us. You cannot say something is done and collect payment if the checklist says otherwise. That is not a lack of trust that is how professional projects get built correctly. There is one more thing we need in this contract and we want to be upfront about it. The contract will include a scope change clause. That means if we ask you to build something that was not in the original specification something we did not think of, something new that becomes a change order and gets priced separately. It does not get quietly absorbed into the fixed price and it does not become a source of resentment on either side. You build what is specified. Anything beyond that gets negotiated openly and fairly. Fixed rate. Milestone payments. Handoff checklist as the payment trigger. Scope change clause in the contract. That is how we protect Pathfinders for Hope's mission funding and make sure you get treated fairly too. Additional terms: * NDA required before any specifications are shared * Work-for-Hire Agreement required before development begins all code belongs to Pathfinders for Hope * Rate is negotiable based on experience To Apply: Submit your proposal with your answers to all eight questions, a description of your most relevant project, your recommended stack, your honest Phase 1 timeline estimate, and your rate. We are building the operating system that proves homelessness can be solved one city at a time. If that is the kind of work you have been waiting for, we want to hear from you.