We are building a HIPAA-compliant SaaS platform for medication stewardship in skilled nursing facilities (SNFs). The platform allows clinical pharmacy consultants and providers to upload scanned medical documents, run AI-powered medication and disease state reviews, and generate clinical findings — all without storing any patient data. This is a focused, well-defined MVP. No scope creep. We need a developer who moves fast, communicates clearly, and has real experience with HIPAA-eligible AWS architecture. Core concept — stateless processing: This platform is intentionally stateless. Documents are uploaded, processed through OCR, analyzed by AI, and the findings are displayed to the user. Nothing is written to a database. No patient data or documents are retained after the session ends. The platform processes PHI transiently and discards it — significantly simplifying the HIPAA footprint while maintaining compliance. What you will build: 1. AWS infrastructure (HIPAA-eligible, stateless) — S3 used only as a temporary processing buffer (files deleted immediately after OCR completes) — AWS Textract for OCR processing of scanned PDFs and images — AWS Bedrock (Claude Sonnet) for AI-powered clinical analysis — AWS Cognito for user authentication only (no clinical data stored) — AWS Amplify or CloudFront for React frontend hosting — KMS encryption for data in transit — All services configured under AWS BAA coverage — No RDS or persistent database required for clinical data 2. React frontend — Clean single-page application — Document upload UI (drag/drop, supports PDF and image files) — OCR text display with basic edit capability before analysis — Free-text question input (user asks Claude questions about the document) — Claude response display panel — Copy to clipboard button on all output — User login and profile page (name, email, facility) — Membership and billing settings page — Stripe monthly subscription integration 3. HIPAA compliance — Stateless architecture — no PHI persisted after session — HTTPS enforced on all endpoints — AWS BAA signed and covering all services — User BAA acknowledgment on signup — Audit logging for access events — Privacy policy and terms of service integration What we are NOT building in this phase: — Mobile app — EHR or PointClickCare integration — Stored intervention history or dashboard — Cost savings calculator — Admin panel — Anything beyond the three core features above: upload, analyze, copy output Ideal candidate: — 3+ years React and AWS experience — Prior HIPAA-eligible AWS builds — please describe your specific experience in your proposal — Hands-on experience with AWS Textract or comparable OCR pipelines — Familiarity with AWS Bedrock or direct LLM API integrations — Experience with stateless or ephemeral data processing architectures — Stripe subscription integration experience — Strong communicator — weekly video check-ins required — Available to start within 2-4 weeks Engagement details: — Estimated scope: 40–60 hours — Timeline: 8–10 weeks — Budget: $2,500–$4,500 USD fixed price preferred — Payment milestones: 25% upfront, 25% at working OCR pipeline, 25% at working Claude integration, 25% at launch — Communication: Weekly video check-in + async messaging How to apply: In your proposal please answer these four questions specifically: 1. Describe a HIPAA-eligible AWS application you have built — what services did you use and how did you handle PHI? 2. Have you implemented stateless or ephemeral document processing before? How did you approach it? 3. What is your experience with AWS Textract or other OCR pipelines? 4. How would you integrate AWS Bedrock or a Claude API call into a React frontend securely? Proposals that do not answer these four questions will not be considered. About us: We are an early-stage clinical SaaS platform founded by a Clinical Pharmacy Specialist. We are building a tool that genuinely improves patient care and safety in long-term care settings. We want a developer who takes pride in clean, secure, well-documented code and wants to be part of building something meaningful in healthcare. If that is you, we would love to hear from you.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

# Principal AI Data Platform Architect ## Company Overview We are a fast-growing AI-native firm working with executives, operators, private-markets investors, and enterprise teams to redesign how mission-critical work gets done with AI. We move quickly, care deeply about execution quality, and build practical systems where data, workflows, and AI agents come together in production. Our work often sits inside complex enterprise environments with sensitive private data, messy documents, high-stakes decisions, and strict access controls. We are not building generic dashboards or chatbots. We are building governed operating systems that help people answer important business questions faster, with source trails and permission boundaries intact. ## Opportunity We are looking for a principal-level Data Platform Architect to design and build the governed data spine behind AI-native operating systems for private-markets and enterprise environments. This role is for a senior, hands-on builder who can architect the foundation and ship production-grade systems: ingestion, lakehouse layers, canonical entities, lineage, quality checks, permissions, semantic models, and serving APIs. Outstanding performers may be considered for expanded or longer-term opportunities, including deeper platform ownership. ## Scope of Work - Architect a lakehouse-style data platform across structured and unstructured enterprise sources. - Build ingestion pipelines from SharePoint, Microsoft 365, CRM systems, document repositories, spreadsheets, and financial or operational data feeds. - Design Bronze/Silver/Gold data layers with replayability, lineage, quality checks, and point-in-time correctness. - Create canonical entity models for companies, people, deals, documents, metrics, funds, assets, and relationships. - Implement role-based and attribute-level access controls at the data layer, not just the UI. - Build semantic models and APIs that downstream AI workflows can safely query. - Partner with AI engineers building RAG, extraction agents, and executive command surfaces. - Document architecture, tradeoffs, operating standards, and handoff paths clearly. ## Must-Haves - Expert Python, SQL, and modern data engineering. - Deep experience with Databricks, Snowflake, or comparable lakehouse/data-platform architecture. - Hands-on experience with dbt or comparable transformation frameworks. - Experience building governed enterprise data systems with lineage, quality tests, CI/CD, and observability. - Familiarity with Microsoft Graph, SharePoint, Microsoft 365, or similar enterprise content ingestion. - Experience with entity resolution, master data management, semantic layers, or canonical data modeling. - Strong judgment around sensitive data, access controls, auditability, and reliability. - Ability to personally architect and ship production systems, not just advise. ## Nice-to-Haves - Private equity, private markets, financial services, investment workflows, or enterprise knowledge-management data experience. - Experience with DealCloud, HubSpot, PitchBook, AlphaSense, S&P, fund admin feeds, or similar business-data sources. - Experience with graph databases, vector databases, or RAG-ready data architecture. - Azure, Entra ID, RBAC, row-level security, or regulated-data environments. - Experience turning a client-specific data platform into reusable product infrastructure. ## What We're Looking For in a Person We are looking for a serious enterprise data architect who cares about correctness, lineage, permissions, and reliability. The right person has built real systems with messy data and real users. They know that the hard part is not making a demo work; it is making the data trustworthy, traceable, secure, and useful every day. This person should be senior enough to challenge the architecture, hands-on enough to ship, and clear enough to explain technical tradeoffs to non-technical operators. ## Category **Data Science & Analytics - Data Engineering** ## Screening Questions 1. Describe a governed data platform, lakehouse, or enterprise data architecture you personally designed or built. What were the sources, layers, and serving use cases? 2. What is your hands-on experience with Databricks, Snowflake, Delta Lake, Iceberg, or comparable platforms? 3. Have you built entity-resolution, master-data, or canonical data-model systems? Describe the matching approach and human-review process. --- ## Skills - Data Engineering - Data Architecture - Databricks - Snowflake - SQL - Python - dbt - ETL Pipeline - Data Lake - Microsoft Azure - API Integration - Data Modeling - Data Warehousing - Lakehouse Architecture - Microsoft Graph - SharePoint Integration - Entity Resolution - Master Data Management - Semantic Layer - Data Lineage - RBAC - Private Equity Data

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

AI SYSTEMS ENGINEER Agentic AI, Multi-Agent Systems & Secure AI Workflows (U.S.) Remote • United States We're building production AI systems designed for enterprise environments. We're looking for exceptional AI systems engineers who enjoy solving difficult systems problems – not just writing code. Our work sits at the intersection of agentic AI, software architecture, enterprise systems, governance, security, and operational intelligence. We design AI systems that improve how organizations operate while meeting the standards required for production deployment. We value engineers who think in systems, challenge assumptions, and care deeply about building technology that is reliable, understandable, secure, and useful. If you're motivated by difficult engineering problems, thoughtful architecture, and building production AI systems for enterprise organizations, we'd like to hear from you. WHAT YOU'LL HELP BUILD Examples of the types of systems we design include: - Multi-agent AI systems - Enterprise AI assistants - Secure AI workflows - Enterprise workflow automation - AI-powered knowledge systems - Human-in-the-loop decision support - Document intelligence - Retrieval-Augmented Generation (RAG) - AI memory and retrieval systems - AI evaluation and testing frameworks - Secure enterprise AI platforms - AI governance capabilities - Operational intelligence platforms TECHNICAL EXPERIENCE WE VALUE We're interested in engineers with experience in some combination of: - Python - AI Agent Development - LangGraph - LangChain - Large Language Models - API Development - Vector Databases - Software Architecture - Enterprise Systems Integration - Information Security Experience with OpenAI, Anthropic, Model Context Protocol (MCP), cloud infrastructure, workflow orchestration, observability, distributed systems, or regulated technology environments is also valuable. We do not expect expertise in every technology. We care far more about engineering judgment, systems thinking, demonstrated execution, and continuous learning than checking every technology box. THE PROBLEMS WE ENJOY SOLVING The engineers who thrive here enjoy questions like: - How should multiple AI agents coordinate work? - How should humans remain in control of important decisions? - How should production AI systems scale safely? - How should memory be designed for enterprise AI? - How should AI systems balance operational performance with governance, security, and reliability? - How should AI systems create measurable business value? If those questions excite you, you'll probably enjoy working with us. WHAT MAKES SOMEONE SUCCESSFUL HERE We're looking for engineers who: - Think in systems rather than individual features. - Care deeply about production quality. - Enjoy solving ambiguous technical problems. - Communicate complex ideas clearly. - Balance speed with sound engineering judgment. - Build practical solutions rather than chasing hype. - Continuously learn, experiment, and improve. We're significantly more interested in systems you've built than technologies you've used. Please provide specific examples that demonstrate your role, engineering decisions, and measurable outcomes. We recognize that many engineers use AI as part of their workflow. You're welcome to do the same. However, your application should accurately reflect your own experience, judgment, and technical thinking. We respect the confidentiality of your current and former employers, clients, and partners. Please do not include proprietary or confidential information in your application. Describe your work at a level that demonstrates your engineering approach without disclosing protected information. PROFESSIONAL STANDARDS We value integrity, sound engineering judgment, and respect for intellectual property. Please do not include confidential, proprietary, export-controlled, or other non-public information belonging to your current or former employers, clients, or partners in your application or work samples. We're interested in your engineering approach, architectural thinking, and problem-solving methodology – not protected information belonging to others. If you share code, architecture diagrams, technical documentation, or project examples, please ensure you have the legal right to do so and identify any material open-source or third-party technologies where appropriate. By submitting application materials, you represent that you have the legal right to share them and that doing so does not violate any confidentiality, intellectual property, employment, consulting, or other contractual obligations. Any engagement, if offered, will be subject to a separate written agreement covering confidentiality, intellectual property ownership, compensation, and other applicable terms. Submission of an application or participation in the evaluation process does not create any employment, independent contractor, partnership, joint venture, agency, fiduciary, or other business relationship with 26ers AI, nor does it obligate either party to enter into any future engagement. 26ers AI reserves the right to evaluate applications, discontinue discussions, modify the hiring process, or decline to pursue any engagement at its discretion. Nothing in this posting should be construed as an offer of employment or an offer to contract.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

Title: React Developer — CRM Integration (Freelance / Contract) We're looking for an experienced React developer to help finalize a custom-built CRM for a creative services company. The app is already live and functional — we need help integrating third-party APIs including Pipedrive, Google Workspace (Gmail, Drive, Calendar), JustCall.io, and Markup.io, plus wiring up AI tools (Gemini, Gamma.app). Stack: React, Vite, Tailwind CSS, Base44 (BaaS), Deno backend functions What you'll do: - Connect OAuth-based integrations (Google, Pipedrive, JustCall) - Build automated email/workflow triggers via backend functions - Polish UI components and fix edge-case bugs Ideal candidate: 3–5 yrs React experience, comfortable with REST APIs and OAuth flows, bonus if you've worked with Pipedrive or Google Workspace APIs. Estimated: 60–100 hrs | Milestone-basedThis is a part-time engagement for 1 to 3 months. Freelancer Project Brief — Flyer View Group CRM Project Overview Flyer View Group is a geospatial marketing firm that produces custom murals, posters, story maps, and dynamic map programs for commercial real estate and economic development clients. We have a custom-built internal CRM (built on Base44, a React + Vite + cloud-backend platform) that manages the full lifecycle of prospects, deals, contacts, organizations, and projects. We need an experienced freelance full-stack developer to: Complete and stabilize all existing CRM functionality (described below) Wire up live integrations with our third-party tool stack Deploy and test the system so it's production-ready for daily use by a small team What's Already Built The CRM currently includes: Dashboard — activity summaries, pipeline metrics, revenue charts Prospecting — outreach tracking with AI-assisted qualification Contacts & Organizations — tabbed detail slide-over panels, quick actions Pipeline — Kanban-style deal board with stage drag-and-drop Projects — grid/list views with Pipedrive-style project cards, stage transitions, subscription tracking Activities/Tasks — logging, scheduling, assignments, priority tracking Mail page — stub ready for email integration Backend functions — deal-to-project conversion, proof tracker, subscription renewal alerts, outreach automation stubs AI Assistant — global sidebar AI agent (Base44 in-app agent) Work Required 1. Polish & Wire Up Internal Functionality Fix any broken UI states, edge cases, or incomplete components Ensure all entity relationships (Deal → Project → Contact → Org) work end-to-end Complete the proof versioning workflow (version bump → task creation → notification) Finalize subscription renewal alert automation (60/30 day triggers) Ensure all slide-over detail panels are fully functional with edit/save/delete 2. Third-Party Integrations Service Integration Goal Google Workspace (Drive, Gmail, Calendar, Docs) Auto-link Drive folders per project; log emails as activities; sync calendar events to Activities; create Docs from project templates Pipedrive Two-way sync of Deals, Contacts, and Organizations via Pipedrive REST API; map CRM stages to Pipedrive pipeline stages Markup.io Embed or deep-link Markup.io review sessions to project proof records; store review URLs on the Project entity JustCall.io Click-to-call from Contact/Prospect records; log inbound/outbound calls as Activities automatically via JustCall webhook Gemini (Google AI) Power AI-assisted prospect qualification scoring, outreach message generation, and project notes summarization via Gemini API Gamma.app Store and display Gamma presentation links per project (partially built); add ability to generate a Gamma link stub from within the project record app.atlas.co Store and display Atlas map links per project; integrate link management into project detail panel 3. Automation Wiring Connect existing backend function stubs to real API calls Set up and test all Base44 automations (entity triggers + scheduled tasks) Ensure webhook endpoints are secured and validated 4. Testing & Documentation End-to-end QA of all workflows Document integration setup steps (API keys, webhook URLs, OAuth scopes) Provide a brief handoff guide Required Qualifications Must Have: 3+ years of React development (hooks, React Query, component architecture) Experience with REST API integrations and OAuth 2.0 flows Familiarity with webhook-based event handling Strong JavaScript/TypeScript skills Experience integrating Google Workspace APIs (Drive, Gmail, Calendar) Ability to read and work within an existing codebase without rewriting everything Nice to Have: Prior experience with Pipedrive API or similar CRM APIs Experience with Base44 or similar BaaS platforms (Supabase, Firebase) Familiarity with JustCall, Markup.io, or annotation/review tools Experience with Gemini / Google AI Studio APIs UI/UX sensibility to maintain the existing dark, premium SaaS design system Tech Stack Document Frontend Layer Technology Framework React 18 (Vite) Routing React Router v6 State / Data Fetching TanStack React Query v5 Styling Tailwind CSS v3 Component Library shadcn/ui (Radix UI primitives) Icons Lucide React Animations Framer Motion Charts Recharts Drag & Drop @hello-pangea/dnd Forms React Hook Form + Zod Date Utilities date-fns Backend / Platform Layer Technology Platform Base44 (BaaS — database, auth, functions, agents) Backend Functions Deno Deploy (TypeScript/JS serverless handlers) Database Base44 managed NoSQL (entity-based schema) Auth Base44 Auth (JWT, Google OAuth, email/OTP) File Storage Base44 Storage (public + private file URLs) AI / LLM Base44 InvokeLLM (OpenAI GPT-4o-mini default; Gemini configurable) In-App Agent Base44 Agent SDK (chat UI + tool permissions) Automations Base44 Automations (scheduled, entity-triggered, connector webhooks) Integrations Required Service Auth Method API Type Google Workspace (Drive, Gmail, Calendar, Docs) OAuth 2.0 (Base44 Google connector) REST + Webhooks Pipedrive API Token / OAuth REST Markup.io API Key REST JustCall.io API Key + Webhooks REST + Webhooks Google Gemini API Key (Google AI Studio) REST Gamma.app Manual URL (no public API) Deep Link app.atlas.co Manual URL / API Key (if available) REST / Deep Link Infrastructure Notes All backend logic runs as Deno serverless functions — no Node.js, no Docker Secrets/API keys stored as Base44 environment variables (never in source code) No separate database or hosting needed — Base44 handles all of it The codebase is a single React SPA deployed via Base44's hosting Deliverables Fully functional CRM with all existing features working Live integrations for all 7 services listed above All Base44 automations configured and tested API key / webhook setup documentation Handoff notes for ongoing maintenance Estimated Scope ~80–120 hours depending on experience level with the tools involved. Fixed-price bids preferred with milestones. Please include examples of prior CRM integrations or API work in your proposal. Platform: Base44 (base44.com) — Freelancer must be comfortable reading existing React/Deno code and working within the Base44 ecosystem. A 1-hour paid discovery call is required before work begins.